{"access":{"advertiser_pricing_url":"https://aidevboard.com/pricing","catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"53523380-38ba-4300-ab1a-a7402a41ff8f","company_id":"a0000000-0000-0000-0000-000000000001","title":"Staff+ Software Engineer, Capacity Engineering","slug":"staff-software-engineer-capacity-engineering-751b8b8f","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the Role \n Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.\n As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.\n You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.\n This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: \n \n Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need.\n Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other.\n Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number.\n Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO.\n \n Key responsibilities \n \n Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs.\n Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. At this fleet size a single point of utilization is worth eight figures a month.\n Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline.\n Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration.\n Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is ac","salary_min":320000,"salary_max":485000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["search","data-pipeline","payments","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5310731008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T19:16:22Z","expires_at":"2026-08-14T14:00:36.371223Z","created_at":"2026-07-15T14:00:36.496615Z","updated_at":"2026-07-15T14:00:36.496615Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/53523380-38ba-4300-ab1a-a7402a41ff8f"},{"id":"724ab66f-d426-4c39-b31e-1b432c22d253","company_id":"83c597c2-a4b2-4517-99df-1ac8c90756d5","title":"Senior Simulation Vehicle Modeling Engineer","slug":"senior-simulation-vehicle-modeling-engineer-9867b4f8","description":"About the Company  \n At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.  Now a part of the Daimler family , we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. \n Meet The Team:   \n At Torc, our simulation teams are building the foundation for AV 3.0 driver-out development and certification. This team serves as the critical technical interface between simulation/modeling and autonomy consumers. By ensuring model fidelity, coverage, and usability, the team plays a vital role in evaluating and advancing autonomous driving software. We support massive-scale, parallel execution for scaled verification and validation (V\u0026V) and high-throughput reinforcement learning (RL) training. Ultimately, we provide the framework and tooling that serves Autonomy, Safety, and Release with shared artifacts, common metrics, and deterministic reproducibility.    \n What You'll Do:   \n \n Develop and own vehicle dynamics models, including high-fidelity truck models that accurately represent longitudinal, lateral, and transient behavior for use in simulation and autonomy validation.  \n Design, develop, and maintain high-fidelity simulation platforms used to validate autonomous driving software in closed-loop evaluation pipelines at scale.   \n Partner with autonomy engineering teams to capture and implement vehicle model requirements that support planning, controls, and system-level V\u0026V activities.   \n Own model capability communication, known limitations, and release notes to enable effective autonomy validation.   \n Ensure vehicle model updates do not regress autonomy V\u0026V system performance by using automated regression frameworks.   \n Execute full software development lifecycle activities primarily in C++ within a Linux development environment and ROS/ROS2 tooling, applying Lean-Agile methodologies.   \n Perform root cause analysis on issues identified during simulation runs and hardware-in-the-loop testing.   \n Participate in designing test plans for data acquisition and telemetry that support field data collection for vehicle model refinement.   \n Support system-level test plans and verification strategies.   \n Communicate progress, design decisions, and blockers clearly at daily stand-ups and design reviews.   \n Build and maintain collaborative relationships with OEM partners and simulation tool vendors to evaluate, integrate, and co-develop simulation capabilities.   \n \n What You'll Need to Succeed:   \n \n Bachelor's Degree in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or a related technical field plus 6+ years of relevant experience; or Master's Degree in the above fields plus 3+ years of relevant experience; or  PhD in the above fields plus 1+ years of relevant experience.   \n Proficiency in C++ (primary), Python for tooling and ML integrations, ROS/ROS2, CMake, and Linux.   \n Physics-based modeling of ground vehicles, including longitudinal/lateral dynamics, tire models, and powertrain.   \n Working knowledge of AV autonomy stack architecture—planning, controls, and system integration—to collaborate effectively with autonomy engineering teams and ensure vehicle models meet V\u0026V requirements.   \n Ability to translate vehicle model capabilities and limitations to autonomy engineering teams, and to capture their requirements to inform model fidelity improvement initiatives.   \n Experience with unit, integration, and regression testing, as well as automated validation pipelines and simulation-based performance benchmarking.   \n Expected to drive consensus across simulation, autonomy, controls, and product engineering \u0026 safety teams.   \n Ability to own and maintain key technical systems across multiple repositories and contribute to cross-org architectural decisions.   \n Must operate as an advanced-level professional with wide latitude for independent judgment and minimal supervision.   \n Willingness to mentor and guide engineers within the group and contribute to technical direction within the simulation and autonomy domains.   \n \n Bonus Points!   \n \n Experience with high-fidelity truck \u0026 trailer or heavy-vehicle models.  \n Experience building or extending closed-loop autonomous vehicle simulation environments.   \n Familiarity with scenario-based validation and sim-to-real correlation activities.   \n Familiarity with how learned models (neural networks) consume simulation and vehicle model outputs in autonomy V\u0026V workflows.   \n \n Perks of Being a Full-time Torc’r   \n Torc cares about our team members and we strive","salary_min":160800,"salary_max":193000,"location":"Ann Arbor, MI","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["payments","robotics","reinforcement-learning","autonomous-vehicles","deep-learning"],"apply_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8624508002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T18:27:34Z","expires_at":"2026-08-14T14:07:36.10117Z","created_at":"2026-07-15T14:07:36.22853Z","updated_at":"2026-07-15T14:07:36.22853Z","company_name":"Torc Robotics","company_slug":"torc-robotics","company_logo_url":"https://www.google.com/s2/favicons?domain=torc.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/724ab66f-d426-4c39-b31e-1b432c22d253"},{"id":"45810c38-51f8-47ab-83a8-b91cb2515162","company_id":"a0000000-0000-0000-0000-000000000001","title":"Safeguards Enforcement Analyst, Fraud \u0026 Scams","slug":"safeguards-enforcement-analyst-fraud-scams-028dd4c2","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role\n As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be standing up fraud \u0026 scams enforcement as a program: today this work is handled reactively and in fragments — payment fraud, promotional abuse, and scam-pattern enforcement don't yet have a single owner. You'll be that owner: defining the policy area, building the detection-to-enforcement pipeline, and setting the operating model that a contractor bench can execute against. The surface area is broad: payment fraud (stolen cards, chargebacks, disputes), promotional and credits abuse, and the use of accounts to run scams against third parties.\n This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.\n Key responsibilities \n \n Define the fraud \u0026 scams policy taxonomy and how cases are classified, prioritized, and escalated\n Investigate and dismantle organized abuse rings, converting findings into durable controls\n Stand up proactive fraud detection and customer-facing communication flows for fraudulent organization cases\n Build the dispute and chargeback strategy in partnership with payments and card-network partners\n Quantify fraud losses and control efficacy to drive investment decisions\n Author the contractor playbook for fraud review and own QA of scaled output\n Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows\n \n Minimum qualifications\n \n Deep payment-fraud experience at a fintech, marketplace, or platform — chargebacks, disputes, card-testing, promotional abuse\n Experience building or significantly scaling a fraud program from an early state, not just operating a mature one\n A working command of payment-network and dispute mechanics, sufficient to make strategy calls on them\n Comfort being the sole owner of an area: prioritizing ruthlessly, shipping iteratively, and asking for help precisely\n Comfort using data (SQL or similar tools) to quantify fraud losses and control efficacy\n Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders\n Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams\n \n Preferred qualifications\n \n Experience working directly with payment service providers and card networks on fraud strategy\n Experience with scam typologies beyond payments — social engineering, impersonation, platform-mediated scams\n Experience managing vendor relationships in the fraud/risk detection space\n A deep interest in AI safety and responsible technology development\n Experience writing effective prompts for generative AI systems in a content review or enforcement context\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $245,000 — $285,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application ","salary_min":245000,"salary_max":285000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["alignment","generative-ai","payments","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5319554008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T03:10:05Z","expires_at":"2026-08-14T14:00:31.784066Z","created_at":"2026-07-15T14:00:31.991198Z","updated_at":"2026-07-15T14:00:31.991198Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/45810c38-51f8-47ab-83a8-b91cb2515162"},{"id":"6fc9c11a-5817-4f35-acb7-d96f007c4325","company_id":"a0000000-0000-0000-0000-000000000001","title":"Safeguards Enforcement Analyst, Ban Evasion \u0026 Recidivism","slug":"safeguards-enforcement-analyst-ban-evasion-recidivism-2b8cbefe","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be recidivism: a ban that an actor can evade in five minutes isn't enforcement — it's friction. You'll own detecting when banned actors return, linking accounts across identities, and closing the re-registration paths that matter most. The mandate includes our highest-stakes populations, including preventing evasion of child-safety enforcement bans, where the cost of a missed return is unacceptable.\n This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.\n Key responsibilities \n \n Investigate evasion clusters end to end — from a single appeal or signal anomaly to the full linked actor network\n Convert individual findings into durable systemic controls and detection proposals\n Operationalize re-registration controls for high-severity ban populations\n Partner with Engineering and Data Science teams on account-linking signals to connect returning actors across identities\n Build the recidivism measurement framework: how often banned actors return, how fast we catch them, and which controls reduce return rates\n Author playbooks for contractor-supported evasion review with QA against your own gold standard\n Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows\n \n Minimum qualifications\n \n Experience investigating ban evasion, multi-accounting, or repeat fraud actors at a platform with adversarial users\n Fluency in SQL and comfort building your own analyses across large account and event datasets\n Experience working with fraud or identity-linking signals and a working understanding of their precision/recall tradeoffs\n Rigor about evidence standards — comfort with the asymmetric cost of false positives in severe-harm enforcement\n A track record of turning one-off investigations into repeatable detection logic and policy\n Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders\n Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams\n \n Preferred qualifications\n \n Experience using payment or network risk signals in an enforcement context\n Experience with child-safety or other high-severity integrity enforcement\n Experience collaborating directly with detection engineering or data science teams on rule deployment\n A deep interest in AI safety and responsible technology development\n Experience writing effective prompts for generative AI systems in a content review or enforcement context\n \n  \n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $245,000 — $285,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous","salary_min":245000,"salary_max":285000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["alignment","generative-ai","payments","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5319592008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T03:07:48Z","expires_at":"2026-08-14T14:00:31.34117Z","created_at":"2026-07-15T14:00:31.46483Z","updated_at":"2026-07-15T14:00:31.46483Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/6fc9c11a-5817-4f35-acb7-d96f007c4325"},{"id":"268b8fee-dcaf-4f11-af4e-7d001dba4b5b","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Division Operations Associate - Maneuver Dominance","slug":"division-operations-associate-maneuver-dominance-7e8e1620","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n Anduril’s Maneuver Dominance Division, one of Anduril’s fastest growing divisions, has assembled a diverse team of experts, including aerospace, mechanical, and electrical engineers, alongside software, robotics, artificial intelligence, sensor fusion, and data analysis specialists. Together, we create cutting-edge vehicle-centric hardware and software solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous vehicle systems to tackle the extremely challenging industry demands. Our focus is on delivering advanced tactical unmanned vehicle systems, battlefield intelligence, and flexible ground and air autonomy solutions. We are actively developing and iterating on a portfolio of next-generation vehicle platforms, including Omen, a Group 3 tail-sitter VTOL drone designed for advanced persistent intelligence, surveillance, \u0026 reconnaissance. Through this and other programs, Anduril is executing on substantial contracts to bring these capabilities to our customers. As a rapidly growing division, Maneuver Dominance is not just delivering products; we are building the fundamental enabling technologies that empower our systems with exquisite perception, sophisticated behaviors, and unparalleled capabilities. This deep investment fuels an expanded product portfolio where systems, including Omen and other platforms will form a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the land, air, and tactical domains. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maneuver Dominance Division and help us build the future of defense capability.\n ABOUT THE JOB\n We are looking for a Division Operations Associate to join our rapidly growing Maneuver Dominance Division Operations team in Costa Mesa, CA . In this position, you will be responsible for supporting our internal business lines as well as the entire division. The Maneuver Dominance Division Operations team is a small but mighty team of talented business generalists who enable the division to scale through hyper-growth while breaking as few things as possible. We’re looking for someone to help us build out the business infrastructure required to grow this into Anduril’s largest division over the next few years. Our goal is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation of autonomous systems. \n WHAT YOU’LL DO\n \n Lead various strategic initiatives and special projects, as directed by General Managers and Division Operations Leads, to establish scalable operations across the portfolio, ranging from strategic and international finance, production and supply chain, facilities and real estate, security, etc\n \n Act as the connective tissue between efforts related to the design, development, and implementation of new processes, strategy, and execution plans\n \n Coordinate and prepare for executive leadership meetings, including setting agendas, tracking action items, and ensuring follow-through\n Support internal team operations: new employee onboarding, all hands, internal business reviews, and other division-wide events so that we rapidly ramp new employees and maintain a culture of “doing things differently”\n Support our corporate planning cycle by helping to build out and monitor performance against goals, financial plans, and headcount plans so we can hit our aggressive growth targets\n Establish the operating model and battle rhythm for a rapidly growing team with an emphasis on cross-division coordination and repeatable execution patterns\n \n REQUIRED QUALIFICATIONS\n \n You have 3+ years of experience in consulting, operations, finance, or general business analysis\n You love solving complex, ambiguous, cross-functional problems in a people-centric way\n You’re both high ownership and low ego, approaching everything with strong outcome orientation and high humility\n You get energy from being a thought partner for others and it excites you to spend time translating operational problems into data problems, and to then going and ex","salary_min":112000,"salary_max":149000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","computer-vision","robotics","cloud","autonomous-vehicles"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5185048007?gh_jid=5185048007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T15:53:55Z","expires_at":"2026-08-14T14:08:48.356164Z","created_at":"2026-07-15T14:08:48.518891Z","updated_at":"2026-07-15T14:08:48.518891Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/268b8fee-dcaf-4f11-af4e-7d001dba4b5b"},{"id":"624a206a-77bf-4580-8cdd-be32f7688f73","company_id":"a0000000-0000-0000-0000-000000000001","title":"Red Team Engineer, Safeguards","slug":"red-team-engineer-safeguards-ce8b1599","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n Anthropic's Safeguards team is seeking a Red Team Engineer to help ensure the safety of our deployed AI systems and products. In this role, you'll take an adversarial approach to uncover vulnerabilities across our product ecosystem before they can be exploited by malicious actors. Your work will span from technical infrastructure vulnerabilities on our products to emergent risks from advanced AI capabilities.\n While you'll bring best practices from traditional security approaches, the focus is on broader safety implications and novel abuse unique to advanced AI systems and associated products. You'll investigate the full spectrum of potential abuse — from coordinated account manipulation and payment fraud to novel exploitation of product features — and simulate sophisticated threat actors who chain multiple attack vectors to achieve their objectives.\n Key responsibilities \n \n Conduct comprehensive adversarial testing across Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques\n Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms\n Design and execute \"full kill chain\" attacks that emulate real-world threat actors attempting to achieve specific malicious objectives\n Build and maintain systematic testing methodologies that evaluate every aspect of our systems\n Develop automated testing frameworks to enable continuous assessment at scale\n Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements\n Help establish metrics for measuring detection effectiveness of novel abuse\n \n Minimum qualifications \n \n Experience in penetration testing, red teaming, or application security\n Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors\n Strong technical skills in web application security, including hands-on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks)\n Experience building custom automation, including LLM-specific testing frameworks\n A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways\n A public body of work such as CVEs, blog posts, or disclosed bug bounty reports\n Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences\n \n Preferred qualifications \n \n Experience with AI/ML security or adversarial machine learning\n Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks\n Experience testing API security and rate-limiting systems\n Background in testing business logic vulnerabilities and authorization bypass techniques\n Background in anti-fraud, trust \u0026 safety, or abuse prevention systems\n Familiarity with distributed systems and infrastructure security\n Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses\n Adaptability to understand and build engagements around emerging threats outside your direct area of expertise\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $320,000 — $405,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, s","salary_min":320000,"salary_max":405000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","security","agents","llm","payments","alignment","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5320469008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T22:50:56Z","expires_at":"2026-08-14T14:00:26.778559Z","created_at":"2026-07-12T14:00:24.449098Z","updated_at":"2026-07-15T14:00:26.90493Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/624a206a-77bf-4580-8cdd-be32f7688f73"},{"id":"21fc5b88-2cc6-41e7-aabb-4eb32c4e3b24","company_id":"6ea0f41a-b13e-481a-b410-5195f391f939","title":"Staff Platform Engineer, Service Infrastructure","slug":"staff-platform-engineer-service-infrastructure-e2c5b795","description":"About the Role \n Together AI is hiring a Staff Platform Engineer to join the Product Foundations engineering organization and drive its service infrastructure strategy.\n Product Foundations builds and operates Together’s mission-critical product platforms that support all cloud products, including API Platform (non-Inference), web UI Platform, Billing, and customer-facing IAM. These services sit on the critical path for customers and internal systems.\n This is a hands-on Staff role focused on evolving Product Foundations’ core infrastructure strategy from the inside: understanding service team needs, turning repeated infrastructure problems into reusable patterns, and coordinating across platform owners so Product Foundations services are reliable, repeatable, and built on the right company-wide foundations.\n Responsibilities \n \n Own the technical direction for service infrastructure within Product Foundations, including Kubernetes, AWS, Terraform, CDNs, ALBs, DNS, IAM, service networking, and related operational patterns.\n Up-level existing Product Foundations services by improving reliability, operability, deployment safety, infrastructure consistency, and production readiness.\n Partner deeply with API Platform and UI Platform on networking, DNS, CDN, load balancing, delivery, and gateway patterns for critical customer-facing interfaces.\n Work closely with Infrastructure, Networking, and Security teams to bring company-wide platform standards into Product Foundations and contribute PF requirements back into shared frameworks.\n Help drive cross-company infrastructure initiatives that Product Foundations depend on or help maintain, including Terraform CI/CD, Kubernetes networking, zero-trust service communication, policy-as-code, and cross-DC/provider networking.\n Build and evolve reusable service infrastructure primitives, including Helm charts, Terraform modules, GitHub Actions/GitOps workflows, service scaffolding, runbooks, and documentation.\n Establish durable technical standards through design docs, architecture reviews, mentorship, and hands-on implementation that help Together scale services across teams, regions, and cloud environments.\n \n Requirements \n \n 7+ years of professional experience in platform engineering, service infrastructure, SRE, distributed systems, cloud infrastructure, or related roles.\n Deep production experience with Kubernetes, including EKS, Helm, ArgoCD/Argo Rollouts, ingress, autoscaling, secrets, service identity, networking, and progressive delivery.\n Strong Terraform experience, including module design, infrastructure CI/CD, policy enforcement, production applies, and safe self-service workflows.\n Experience operating networking and edge infrastructure such as CDNs, ALBs/NLBs, DNS, TLS, ingress/egress controls, and traffic management.\n Proficiency in one or more programming languages used for infrastructure tooling and automation, such as Go, Python, TypeScript, or similar.\n AWS experience, ideally including EKS, IAM, VPC networking, load balancing, Route 53, CloudFront, ECR, and related service infrastructure.\n Direct experience with observability systems, including metrics, logs, traces, dashboards, alerting, SLOs, and incident response.\n Proven ability to lead cross-functional technical initiatives across product engineering, infrastructure, networking, and security teams.\n Strong written communication skills, with experience producing clear design docs, migration plans, operational guidance, and technical standards.\n Staff-level judgment: you can define ambiguous problems, make pragmatic tradeoffs, influence without authority, and leave both systems and teams better than you found them.\n \n Nice to Have \n \n Experience building internal developer platforms or paved-path service frameworks used by many engineering teams.\n Experience embedding infrastructure best practices into product engineering teams at scale.\n Experience with service mesh or zero-trust infrastructure such as mTLS, SPIFFE/SPIRE, Cilium, Istio, Linkerd, Envoy, or similar.\n Experience with OPA, Gatekeeper, Kyverno, Sentinel, or other policy-as-code systems.\n Experience with multi-region, multi-cluster, hybrid-cloud, or cross-provider service networking.\n Experience with supply-chain security, image signing, SBOMs, vulnerability management, or compliance automation.\n \n About Together AI \n Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the nex","salary_min":240000,"salary_max":280000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","payments","distributed-systems","platform","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/togetherai/jobs/5180690007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T22:06:31Z","expires_at":"2026-08-14T14:02:21.334902Z","created_at":"2026-07-12T14:01:51.382499Z","updated_at":"2026-07-15T14:02:21.458268Z","company_name":"Together AI","company_slug":"together-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=together.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/21fc5b88-2cc6-41e7-aabb-4eb32c4e3b24"},{"id":"27e47bb2-457a-411c-94da-c13b0a26bbe4","company_id":"a0000000-0000-0000-0000-000000000001","title":"Staff+ Software Engineer, Financial Fraud","slug":"staff-software-engineer-financial-fraud-e46a39b4","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse — keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer.\n Payments fraud is more externally coupled than most trust and safety work — you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally.\n Responsibilities: \n \n Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints\n Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting\n Engineer fraud signals at scale — device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage — and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases\n Own a portfolio of metrics — loss rate, dispute rate, authorization approval impact, and false-positive rate — rather than optimizing any single number\n Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules\n Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners\n \n Minimum Qualifications:  \n \n Proficiency in Python, SQL, and data analysis tools\n Experience building or operating fraud, risk, or abuse detection systems in production\n Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders\n \n Preferred Qualifications:  \n \n 8+ years of industry software engineering experience, with a focus on payments fraud or risk\n Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle\n Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud\n Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) — and why chargeback rate thresholds carry existential stakes\n Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows\n Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team\n The annual compensation range for this role is listed below. \n For sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\n Annual Salary:\n $320,000 — $485,000 USD \n Logistics \n Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\n Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience\n Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\n Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.\n Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.\n We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely ","salary_min":320000,"salary_max":485000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["alignment","payments","fintech","rust"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5325909008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T20:42:40Z","expires_at":"2026-08-14T14:00:37.455206Z","created_at":"2026-07-12T14:00:33.033504Z","updated_at":"2026-07-15T14:00:37.614587Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/27e47bb2-457a-411c-94da-c13b0a26bbe4"},{"id":"c8d7c8f4-7a62-4899-9006-8cc4861dc62e","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Software Engineer, Agentic Modeling \u0026 Simulation","slug":"software-engineer-agentic-modeling-simulation-f921e023","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n Anduril’s Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. Anduril’s Frontier AI team builds edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. \n ABOUT THE JOB\n Anduril is looking for a full-stack software engineer to build agentic modeling and simulation systems for operational planning. This role sits at the intersection of applied AI, backend systems, model and simulation, wargaming, and mission software. You will build the systems that let humans and AI agents author scenarios, task simulated entities, inspect simulation state, reason about human and adversary behavior, and evaluate courses of action in near real time. The goal is to shorten military planning cycles from days to minutes by putting physics-backed simulation and AI-assisted planning directly in the hands of operators. \n WHAT YOU’LL DO \n \n Build agentic workflows that make modeling and simulation capabilities accessible through natural language, structured tools, APIs, and operator-facing product experiences.\n Design multi-agent architectures that model human decision-making, adversary responses, operational constraints, and plan tradeoffs across complex military operations.\n Integrate LLM tool use, function calling, retrieval, planning loops, evaluation hooks, and guardrails with simulation engines, physics/modeling backends, and mission planning systems.\n Build backend services and interfaces for scenario creation, entity tasking, simulation state retrieval, course-of-action generation, plan comparison, and real-time analysis.\n Partner with warfighters, model/sim experts, autonomy engineers, game/simulation engineers, and mission software teams to translate ambiguous planning workflows into reliable software.\n Improve observability, reproducibility, and evaluation for agent behavior so generated scenarios and recommendations are inspectable, explainable, and operationally useful.\n Learn and apply relevant DoD modeling and simulation tools and concepts, including campaign-level simulation, mission-level simulation, wargaming workflows, and systems such as AFSIM and STORM.\n \n REQUIRED QUALIFICATIONS\n \n Strong production software engineering experience building backend services, APIs, platforms, or integrations around complex stateful systems.\n Hands-on experience building AI/ML or LLM-powered software, ideally including tool/function calling, RAG, structured outputs, agent orchestration, MCP-style interfaces, or model evaluation.\n Proficiency in Python, Go, or a similar backend language, with the ability to work across service boundaries and integrate with external systems.\n A degree in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field.\n Ability to work directly with operators, warfighters, and technical SMEs to turn ambiguous operational planning needs into concrete product and engineering requirements.\n Strong judgment around reliability, safety, observability, and debugging for AI systems deployed in high-stakes environments.\n Eligible to obtain and maintain an active U.S. Top Secret security clearance.\n \n PREFERRED QUALIFICATIONS\n \n Experience with modeling and simulation, physics engines, wargaming tools, autonomy simulation, operations research, planning systems, or human/adversary behavior modeling.\n Experience with DoD modeling and simulation tools or concepts such as AFSIM, STORM, campaign-level simulation, mission-level simulation, or course-of-action analysis.\n Experience shipping production agentic systems, not only prototypes.\n Familiarity with gRPC/protobuf, Kubernetes, containerized deployments, distributed systems, observability, and secure or air-gapped environments.\n Experience in defense, aerospace, autonomy, robotics, gaming/simulation, command-and-control, or operational planning domains.\n US Salary Range\n $191,000 — $292,000 USD \n The salary range for th","salary_min":191000,"salary_max":292000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","cloud","llm","distributed-systems","agents","computer-vision","api-design","generative-ai"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5184726007?gh_jid=5184726007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T17:35:34Z","expires_at":"2026-08-14T14:09:00.887844Z","created_at":"2026-07-12T14:06:33.966919Z","updated_at":"2026-07-15T14:09:01.016704Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c8d7c8f4-7a62-4899-9006-8cc4861dc62e"},{"id":"ca995c89-5a09-434d-9bc7-3e90643b646b","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Software Engineer, Agentic Modeling \u0026 Simulation","slug":"software-engineer-agentic-modeling-simulation-ab786ea5","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n Anduril’s Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. Anduril’s Frontier AI team builds edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. \n ABOUT THE JOB\n Anduril is looking for a full-stack software engineer to build agentic modeling and simulation systems for operational planning. This role sits at the intersection of applied AI, backend systems, model and simulation, wargaming, and mission software. You will build the systems that let humans and AI agents author scenarios, task simulated entities, inspect simulation state, reason about human and adversary behavior, and evaluate courses of action in near real time. The goal is to shorten military planning cycles from days to minutes by putting physics-backed simulation and AI-assisted planning directly in the hands of operators. \n WHAT YOU’LL DO \n \n Build agentic workflows that make modeling and simulation capabilities accessible through natural language, structured tools, APIs, and operator-facing product experiences.\n Design multi-agent architectures that model human decision-making, adversary responses, operational constraints, and plan tradeoffs across complex military operations.\n Integrate LLM tool use, function calling, retrieval, planning loops, evaluation hooks, and guardrails with simulation engines, physics/modeling backends, and mission planning systems.\n Build backend services and interfaces for scenario creation, entity tasking, simulation state retrieval, course-of-action generation, plan comparison, and real-time analysis.\n Partner with warfighters, model/sim experts, autonomy engineers, game/simulation engineers, and mission software teams to translate ambiguous planning workflows into reliable software.\n Improve observability, reproducibility, and evaluation for agent behavior so generated scenarios and recommendations are inspectable, explainable, and operationally useful.\n Learn and apply relevant DoD modeling and simulation tools and concepts, including campaign-level simulation, mission-level simulation, wargaming workflows, and systems such as AFSIM and STORM.\n \n REQUIRED QUALIFICATIONS\n \n Strong production software engineering experience building backend services, APIs, platforms, or integrations around complex stateful systems.\n Hands-on experience building AI/ML or LLM-powered software, ideally including tool/function calling, RAG, structured outputs, agent orchestration, MCP-style interfaces, or model evaluation.\n Proficiency in Python, Go, or a similar backend language, with the ability to work across service boundaries and integrate with external systems.\n A degree in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field.\n Ability to work directly with operators, warfighters, and technical SMEs to turn ambiguous operational planning needs into concrete product and engineering requirements.\n Strong judgment around reliability, safety, observability, and debugging for AI systems deployed in high-stakes environments.\n Eligible to obtain and maintain an active U.S. Top Secret security clearance.\n \n PREFERRED QUALIFICATIONS\n \n Experience with modeling and simulation, physics engines, wargaming tools, autonomy simulation, operations research, planning systems, or human/adversary behavior modeling.\n Experience with DoD modeling and simulation tools or concepts such as AFSIM, STORM, campaign-level simulation, mission-level simulation, or course-of-action analysis.\n Experience shipping production agentic systems, not only prototypes.\n Familiarity with gRPC/protobuf, Kubernetes, containerized deployments, distributed systems, observability, and secure or air-gapped environments.\n Experience in defense, aerospace, autonomy, robotics, gaming/simulation, command-and-control, or operational planning domains.\n US Salary Range\n $191,000 — $292,000 USD \n The salary range for th","salary_min":191000,"salary_max":292000,"location":"Washington, DC","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","cloud","llm","generative-ai","robotics","computer-vision","agents","payments"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5112335007?gh_jid=5112335007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T17:34:02Z","expires_at":"2026-08-14T14:09:00.994207Z","created_at":"2026-07-12T14:06:34.045024Z","updated_at":"2026-07-15T14:09:01.132412Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ca995c89-5a09-434d-9bc7-3e90643b646b"},{"id":"d046593f-38a4-4a4d-9b8c-3b5a9cb1c36c","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Senior Software Engineer, Air Defense, Integrations","slug":"senior-software-engineer-air-defense-integrations-3326a5ff","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM \n The Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide.\n ABOUT THE JOB \n We're seeking a integrations focused Senior Software Engineer to join our rapidly growing Air Defense team in Irvine, CA. As a Senior Software Engineer, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset—executing in an expedient ,  scalable , and  pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.\n WHAT YOU’LL DO  \n \n Travel 50% or more of time outside of the United States to build, test, and deploy capabilities in the real world\n Own the software solutions that are deployed to customers\n Write code to improve products and scale the mission capability to more customers\n Collaborate across multiple teams to plan, build, and test complex functionality\n Create and analyze metrics that are leveraged for debugging and monitoring\n Triage issues, root cause failures, and coordinate next steps\n Partner with end-users to turn needs into features while balancing user experience with engineering constraints\n \n REQUIRED QUALIFICATIONS  \n \n Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics\n 6+ years working with a variety of programming languages such as Python, C++, Rust, Go, JavaScript, etc.\n Experience building software solutions involving significant amounts of data processing and analysis\n Ability to quickly understand and navigate complex systems and established code bases\n A desire to work on critical software that has a real-world impact\n Eligible to obtain and maintain an active U.S. Secret security clearance\n \n PREFERRED QUALIFICATIONS \n \n Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling \u0026 simulation (M\u0026S) and physical systems\n Developing and testing multi-agent autonomous systems and deploying in real-world environments\n Feature and algorithm development with an understanding of behavior trees\n Developing software/hardware for flight systems and safety critical functionality\n Distributed communication networks and message standards\n Knowledge of military systems and operational tactics\n US Salary Range\n $191,000 — $253,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a ","salary_min":191000,"salary_max":253000,"location":"Irvine, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["computer-vision","agents","payments","robotics","cloud"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5184560007?gh_jid=5184560007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T16:09:47Z","expires_at":"2026-08-14T14:08:59.447559Z","created_at":"2026-07-12T14:06:32.686671Z","updated_at":"2026-07-15T14:08:59.579989Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d046593f-38a4-4a4d-9b8c-3b5a9cb1c36c"},{"id":"2d1a797b-0e3a-48ad-96ae-0febe6a623f1","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Senior Software Engineer, Air Defense","slug":"senior-software-engineer-air-defense-8d232783","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM \n The Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide.\n ABOUT THE JOB \n We're seeking a Senior Software Engineer to join our rapidly growing team in Huntsville, AL. As a Senior Software Engineer on the Air Defense team, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset—executing in an  expedient ,  scalable , and  pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.\n WHAT YOU’LL DO  \n \n Own the software solutions that are deployed to customers\n Write code to improve products and scale the mission capability to more customers\n Collaborate across multiple teams to plan, build, and test complex functionality\n Create and analyze metrics that are leveraged for debugging and monitoring\n Triage issues, root cause failures, and coordinate next steps\n Partner with end-users to turn needs into features while balancing user experience with engineering constraints\n Travel up to 30% of time to build, test, and deploy capabilities in the real world\n \n REQUIRED QUALIFICATIONS  \n \n Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics\n 6+ years working with a variety of programming languages such as Python, C++, Rust, Go, JavaScript, etc.\n Experience building software solutions involving significant amounts of data processing and analysis\n Ability to quickly understand and navigate complex systems and established code bases\n A desire to work on critical software that has a real-world impact\n Eligible to obtain and maintain an active U.S. Secret security clearance\n \n PREFERRED QUALIFICATIONS \n \n Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling \u0026 simulation (M\u0026S) and physical systems\n Developing and testing multi-agent autonomous systems and deploying in real-world environments\n Feature and algorithm development with an understanding of behavior trees\n Developing software/hardware for flight systems and safety critical functionality\n Distributed communication networks and message standards\n Knowledge of military systems and operational tactics\n US Salary Range\n $165,000 — $218,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and","salary_min":165000,"salary_max":218000,"location":"Huntsville, Alabama, United States","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","robotics","computer-vision","agents","cloud"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5184546007?gh_jid=5184546007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T15:55:04Z","expires_at":"2026-08-14T14:08:59.188106Z","created_at":"2026-07-12T14:06:32.513575Z","updated_at":"2026-07-15T14:08:59.326122Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2d1a797b-0e3a-48ad-96ae-0febe6a623f1"},{"id":"5e84a3b7-6396-4e2c-a48f-c1dae6573539","company_id":"a0000000-0000-0000-0000-000000000001","title":"Finance Systems Integration Engineer","slug":"finance-systems-integration-engineer-c4f39bc4","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role \n We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation at one of the fastest-growing AI companies. You'll design and build integrations connecting our ERP platform with critical financial applications and support our ERP implementation initiatives. As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development.\n You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve. You'll work alongside teams building frontier AI systems while directly applying that technology to solve real financial operations challenges.\n In this role you will: \n Core Focus: Integration Development \u0026 ERP Support \n \n Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions\n Support integration development and testing during the ERP implementation projects \n Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication\n Implement real-time and batch integration patterns supporting high-volume financial transactions\n Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity\n Document integration architectures, data flows, API specifications, and troubleshooting procedures\n Collaborate with implementation consulting partners and vendors on technical integration requirements\n \n Additional Scope:  AI Automation \u0026 Data Infrastructure \n As you master our integration landscape, you'll have opportunities to expand into:\n AI Agent Development \n \n Build and deploy Claude-powered AI agents that automate financial operations including intelligent document processing, workflow automation, financial audit and reconciliations, and self-service reporting\n Design agentic workflows that leverage Claude API capabilities integrated with ERP platform data and processes\n Create automated validation and quality assurance processes for AI-generated outputs\n Partner with Finance teams to identify automation opportunities and translate requirements into AI agent solutions\n \n Data Pipeline Support \n \n Support data pipeline development using Airflow for workflow orchestration and dbt for data transformation\n Build and maintain data flows from ERP and other financial systems into BigQuery for analytics and reporting\n Implement data quality checks and testing frameworks for financial data pipelines\n Collaborate with Data Infrastructure team on pipeline architecture, performance optimization, and security monitoring\n Support executive dashboards and financial analytics by ensuring timely, accurate data delivery\n \n Governance \u0026 Collaboration \n \n Maintain comprehensive documentation for integrations, AI agents, and data pipelines\n Support internal and external audits with technical evidence and system access reviews\n Collaborate with Finance Systems Engineers on operational support, troubleshooting, and enhancement requests\n Partner with Finance Operations, Accounting, FP\u0026A, Engineering, and Data Infrastructure teams to deliver holistic solutions\n \n You may be a good fit if you: \n \n Have 8+ years of experience in integration development, data engineering, or systems engineering roles\n Possess hands-on experience with iPaaS platforms such as Workato, MuleSoft, Dell Boomi, or similar integration tools\n Have strong programming skills in Python and/or JavaScript/TypeScript for building custom integrations, APIs, and automation scripts\n Demonstrate experience with data pipeline tools including Airflow for orchestration and dbt for transformation\n Have working knowledge of cloud data platforms such as BigQuery, Snowflake, or Databricks\n Understand REST API design patterns, webhooks, OAuth 2.0, and modern integration architectures\n Have familiarity with ERP systems (Oracle Fusion, Workday Financials, or similar) and financial business processes\n Possess strong problem-solving skills with ability to debug complex integration issues across multiple systems\n Thrive in a fast-paced, high-growth environment balancing innovation with operational stability\n Have excellent communication skills to collaborate with technical and business sta","salary_min":205000,"salary_max":270000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","agents","payments","alignment","api-design","data-pipeline"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5315789008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T14:27:46Z","expires_at":"2026-08-14T14:00:21.627236Z","created_at":"2026-07-10T14:00:23.500172Z","updated_at":"2026-07-15T14:00:21.788573Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/5e84a3b7-6396-4e2c-a48f-c1dae6573539"},{"id":"90366268-3ef5-4d88-ab99-1047f2554463","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Chief Engineer, Advanced Effects","slug":"chief-engineer-advanced-effects-a77ce088","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n The Air Dominance and Strike (AD\u0026S) Chief Engineering Team is a driving force behind the technical execution and strategic vision of our most critical programs. They are responsible for architecting a vision for product development and guiding multi-disciplinary teams to deliver effectively. They are expected to own the mission and to be deeply involved in building the eco-system that enables execution. ABOUT THE JOB   You’ll own the technical development of large aircraft from white paper sketches and conceptual design through detailed design, build, flight test, transition to production, and sustainment. This includes vehicle layout and conceptual design, airframe and propulsion system design and integration, guidance section development, payload and datalink integration, fabrication and flight test. These projects will be diverse in nature and require you to leverage your technical expertise as well as leadership skills to set objectives, build a team, and drive to completion. The ability to leverage your intuition and prior experience in programmatic level decision will play a key component in making sure the right design/analysis/ and test steps are being completed to ensure success without simply completing steps for the sake of the process that don’t add value. The ideal candidate will leverage their experience executing and successfully completing prior highly optimized multi-disciplinary projects. WHAT YOU'LL DO: \n \n Lead technical and programmatic execution of new and existing air vehicle systems design, fabrication, test, productization and sustainment.\n Own the technical and programmatic success of your programs, establish technical and programmatic vision assemble teams of internal and external subject matter experts, and communicate that vision to them.\n Set up trades to enable the exploration of early conceptual designs while working closely with technical SME’s and Business Development teams to find the right solution to current and future gaps in the DOD capability to ensure the warfighter has the best solution for current and future conflicts.\n Manage the detailed design of the system and subsystems including requirements development, sub-system trades and optimization, risk management etc. to ensure the appropriate consideration of design key performance parameters, schedule, costs and risks.\n Coordinate the fabrication of prototype and low-rate production articles and subsystem/system level test efforts.\n Support remotely deployed operations of your systems.\n Work with senior leadership to ensure resource plans are adequate for work scope.\n \n REQUIRED QUALIFICATIONS: \n \n Deep understanding of unmanned aircraft at and above Group 3 class\n Bachelor’s degree in Aerospace, Mechanical, Electrical or Software engineering, or equivalent experience in a relevant field.\n Experience in a senior role leading air vehicle programs from initial concept through test and delivery to customers\n Experience driving strategic direction in competitive landscapes, solving complex system optimization challenges under tight constraints.\n Proven ability to deliver functional capabilities while aligning technical objectives with programmatic outcomes.\n Demonstrated collaboration and partnerships with internal and external stakeholders\n Strong understanding of the “why” behind Vehicle and Systems design.\n Experience working on mission critical DOD systems\n Experience troubleshooting and analyzing remotely deployed systems.\n Travel up to 50% to Customer and Test Sites\n Eligible to obtain and maintain an active U.S. Secret security clearance\n US Salary Range\n $220,000 — $292,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (","salary_min":220000,"salary_max":292000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["fine-tuning","computer-vision","payments","cloud"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/4742120007?gh_jid=4742120007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T20:52:15Z","expires_at":"2026-08-14T14:08:46.939766Z","created_at":"2026-07-09T14:07:00.202511Z","updated_at":"2026-07-15T14:08:47.073437Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/90366268-3ef5-4d88-ab99-1047f2554463"},{"id":"abbaeb60-211d-46d9-9158-5c8ef21484ab","company_id":"3da82454-107f-427f-88e7-01f315ef93fb","title":"Compute Intelligence Engineer","slug":"compute-intelligence-engineer-399e2228","description":"OWN YOUR INTELLIGENCE\n\n\n\nPrime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.\n\n\n\nOur platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.\n\n\n\nPrime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.\n\nYour Role\n\nCompute is the foundational input of everything Prime Intellect does — and right now, the picture of our compute supply, demand, and economics lives across spreadsheets, partner conversations, and people's heads. This role changes that.\n\nAs Compute Intelligence Engineer, you'll build the data infrastructure and intelligence platform that gives the entire company a live, accurate picture of our compute: what we have, what's coming online, where our bottlenecks are, and how supply maps to demand. This is a hands-on data engineering build — you'll stand up the warehouse, write the pipelines that pull from our compute telemetry, billing systems, partner data, and CRM, model that data into a clean and trustworthy source of truth, and turn it into dashboards and a queryable layer the whole company relies on.\n\nThis is a builder-first role with a clear business purpose. You won't be building data infrastructure for its own sake — you'll be building the system that lets our Compute Partnerships team, Growth team, and Research team operate from the same source of truth. When Growth needs to know what capacity is coming online next quarter, when Compute Partnerships needs to understand our utilization against commitments, when Research needs to scale a training run — the platform you build is what they'll turn to.\n\nYou'll be early in this seat, and the foundations you lay will be the data backbone the company scales on.\n\nResponsibilities\n\nBuild the Compute Intelligence Platform\n\n - Stand up Prime Intellect's data warehouse (Snowflake, BigQuery, or equivalent) and the pipelines that feed it — compute telemetry, billing and usage data, partner and supply data, CRM, and financial systems\n\n - Build the data models and transformations (dbt or equivalent) that turn raw data into a clean, queryable, trustworthy source of truth\n\n - Build dashboards and reporting that give the company a live picture of compute supply, demand, utilization, upcoming capacity, and bottlenecks\n\n - Build a queryable, AI-accessible layer on top of the warehouse so teams across the company can answer their own questions without going through a data analyst\n\nSupply \u0026 Demand Intelligence\n\n - Build the data systems that track our compute supply end-to-end: what we have, what's committed, what's coming online, and what's utilized vs. idle\n\n - Develop the views and models that surface where our bottlenecks are — and make upcoming supply legible to the teams that depend on it\n\n - Connect supply data to demand signals so the company can see, in one place, how capacity maps to what we're selling and building\n\nCross-Functional Enablement\n\n - Serve as the data backbone connecting Compute Partnerships, Growth, and Research — building the systems that let them operate from shared, accurate information\n\n - Partner with Growth on understanding upcoming supply and how it maps to what they can sell\n\n - Partner with Compute Partnerships on utilization, commitments, and supply tracking\n\n - Partner with Research on scaling needs and capacity planning\n\nOperational Reliability\n\n - Build pipelines and systems that run unattended, stay in sync, and fail gracefully\n\n - Establish the data quality, documentation, and infrastructure standards that let the data layer scale with the company\n\n - Partner with Engineering on shared infrastructure, security, and data standards\n\nWhat We're Looking For\n\n - 3–7+ years in data engineering, analytics engineering, GTM/g","salary_min":225000,"salary_max":300000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","data-pipeline","llm","payments"],"apply_url":"https://jobs.ashbyhq.com/PrimeIntellect/5366fc55-df00-4c2c-b389-8850a9393840/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T18:35:28.204Z","expires_at":"2026-08-14T14:12:07.825089Z","created_at":"2026-06-28T14:09:43.506521Z","updated_at":"2026-07-15T14:12:07.949726Z","company_name":"Prime Intellect","company_slug":"PrimeIntellect","company_logo_url":"https://www.google.com/s2/favicons?domain=primeintellect.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/abbaeb60-211d-46d9-9158-5c8ef21484ab"},{"id":"a1933842-376d-4817-ac42-d8641c10338e","company_id":"31ae48bc-c938-4c26-a348-0bf3c089a446","title":"Senior Software and AI Engineer","slug":"senior-software-and-ai-engineer-7975d207","description":"CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at  www.coreweave.com . \n About the Role:\n As a Software and AI Engineer, IT Systems, you’ll design and develop AI agents and first-party applications that bring intelligence, automation, and great user experience to CoreWeave’s internal ecosystem. You’ll work across the stack ranging from agentics frameworks (using iPaas platforms like Workato) or latest software frameworks from LangChain, LangGrapsh, Cohere, ChatGPT agentflow, OpenAI API, Gemini agent flow, or Glean API to rich, React-based interfaces and mobile experiences to robust backend services written in Node.js and Go. \n What You’ll Do:\n \n Develop agents using AI capabilities into applications using frameworks such as LangChain, LangGraph, ChatGPT API, and Glean API\n Design and build first-party web and mobile applications using React (TypeScript) and modern front-end frameworks\n Develop scalable backend services in Node.js and Go for data processing, orchestration, and automation\n Build internal AI agents and copilots that assist with tasks in Finance, Billing, and Supply Chain domains, integrating with systems like ERP, HRIS, MRP, DCIM, Data Warehouse among others - either natively or via an iPaaS like Workato or Boomi\n Implement APIs and microservices that enable modular and event-driven application architectures\n Leverage GenAI tools (Cursor, Claude, Copilot, ChatGPT Codex) to accelerate development, testing, and documentation\n Ensure robust observability, maintainability, and security across the application stack\n Collaborate with stakeholders in Finance, Accounting, Security, and Engineering to design intelligent, user-centered workflows\n \n Who You Are:\n \n Programming Experience: 3+ years of professional programming experience in languages such as TypeScript, Python, Go, C++, C#, or Java , specifically for delivering production-grade cloud services.\n Full-Stack Proficiency: Proven expertise in modern backend (e.g., FastAPI, gRPC ) and frontend technologies (e.g., React, Next ), including the development of scalable backend services in Node.js and Go.\n AI/LLM Experience: Solid familiarity with Generative AI frameworks ( LangChain, LangGraph, ChatGPT API, or Glean API ) and experience shipping production-grade AI/ML/LLM-based applications, or strong desire to build them.\n Architecture: Solid experience designing and implementing RESTful APIs, microservices , and event-driven integration architectures.\n Cloud \u0026 DevOps: Strong understanding of cloud environments (AWS, Azure, or GCP), container orchestration (e.g., Kubernetes), and proficiency with DevOps and CI/CD principles .\n Automation Tooling: 3+ years of experience in scripting (Python or Bash) for automation and tooling.\n \n Preferred:\n \n Experience developing AI-powered or agentic applications integrated with complex enterprise data (ERP, HRIS, DCIM, Data Warehouse).\n Proficiency with machine learning and data engineering platform tools (e.g., Ray, Kafka, Spark).\n Experience with iPaaS platforms (Workato, Boomi) for building internal AI agents and copilots.\n Exposure to the functional domains of Finance, Billing, or Supply Chain where intelligent automation can drive measurable business efficiency.\n \n Wondering if you’re a good fit?\n We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.\n \n You love to leverage cutting-edge GenAI tools (like Cursor, Claude, or Copilot) to accelerate your own development, testing, and documentation processes.\n You’re curious about designing solutions with user experience (UX) and long-term system maintainability as a top priority.\n You’re an expert in collaborating with non-technical stakeholders (like Finance and Accounting) to translate complex needs into intelligent, user-centered, and secure workflows.\n \n Why CoreWeave?\n At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:\n \n Be Curious at Your Core\n Act Like an Owner\n Empower Employees\n Deliver Best-in-Class Client Experiences\n Achieve More Together\n \n We support and encourag","salary_min":182000,"salary_max":242000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","microservices","llm","generative-ai","data-pipeline","api-design","code-generation","payments"],"apply_url":"https://coreweave.com/careers/job?4688220006\u0026board=coreweave\u0026gh_jid=4688220006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T14:26:16Z","expires_at":"2026-08-14T14:06:51.612383Z","created_at":"2026-07-09T14:05:02.804304Z","updated_at":"2026-07-15T14:06:51.747708Z","company_name":"CoreWeave","company_slug":"coreweave","company_logo_url":"https://www.google.com/s2/favicons?domain=coreweave.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a1933842-376d-4817-ac42-d8641c10338e"},{"id":"ea933b5d-c732-402c-bd2a-5aff99b45796","company_id":"83c597c2-a4b2-4517-99df-1ac8c90756d5","title":"Senior, ML Engineer - VLM","slug":"senior-ml-engineer-vlm-fc80da79","description":"About the Company   \n At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.   \n Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.   \n Meet The Team   \n Torc is marching toward its AV 3.0 strategy, where end-to-end Vision-Language-Action (VLA) models perceive, reason, and act directly from sensor data. High-quality, semantically rich training data is the single biggest lever for that strategy, and this team owns it.   \n Sitting within Offline Perception, this team turns petabytes of logged multi-modal fleet data (images, kinematics) into VLM/VLA-ready datasets: geometric annotations, scenario-level semantic descriptions, action- and trajectory-grounded labels, and reasoning traces that explain why a maneuver was taken. We run a continuous data flywheel — mine long-tail and failure cases, auto-label at scale, validate quality, and feed curated datasets directly into Torc’s end-to-end VLM/VLA model development. You will own the dataset layer that those models learn from.   \n What You’ll Do   \n \n Own the offline dataset pipeline — design, implement, test, and deploy Cloud-based pipelines that convert logged multi-sensor data into VLM/VLA training datasets, spanning geometric labels (3D/2D detection, tracking, segmentation, depth) through semantic, scenario-level, and action/trajectory-grounded annotations. \n Build VLM-assisted auto-labeling — develop open-vocabulary detection, dense captioning, semantic enrichment, and scene/scenario description generation that move beyond closed-set bounding boxes, using foundation models to scale annotation and cut manual labeling cost. \n Generate reasoning-grounded labels — produce language-grounded reasoning and chain-of-causation style annotations, temporally aligned to ego-motion and trajectories, to support VLA training and explainable driving behavior. \n Mine and curate the long tail — surface rare, difficult, and high-uncertainty scenarios, and build curated datasets that measurably improve downstream VLM/VLA model metrics rather than simply adding volume. \n Close the data flywheel — define dataset schemas, quality metrics, and validation; track auto-labeling quality against model requirements; route model failures back into re-labeling and retraining loops. \n Partner with the end-to-end model team — co-define dataset specifications with VLM/VLA model developers, own the quality bar and delivery cadence, and operationalize a continuous dataset delivery loop into their training pipelines. \n Scale on cloud infrastructure — build distributed, reproducible pipelines using columnar data formats and distributed compute, with disciplined software practices, version control, and documentation. \n Lead and mentor — serve as project lead, guide less-experienced engineers, run design reviews, set coding and annotation standards, and drive alignment across team interfaces to the rest of the organization. \n Stay current — track the latest advances in multimodal models, auto-labeling, and end-to-end autonomous driving, and translate relevant research into production data systems.   \n \n What You’ll Need to Succeed:   \n \n Considered highly skilled and proficient in discipline ; conducts complex, important work under minimal supervision and with wide latitude for independent judgment. \n Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains, and owns team technical solutions and drives consensus. Mentors and guides engineers within the group. \n Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering, or related technical field plus competences typically acquired through 6+ years of experience; OR Master’s Degree in a related technical field plus competences typically acquired through 3+ years of experience.   \n \n Required Qualifications (some combination of the following skills):   \n \n Computer Vision \u0026 Deep Learning — model training and at least two of: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, BEV, Depth Estimation. \n Multimodal / VLM experience — hands-on work with vision-language models, open-vocabulary or zero-shot recognition, dense captioning, or semantic embeddings / search applied to perception data. \n Model Data Curation — building targeted datasets that measurably improve downstream model performance; large-scale Parquet data processing (Databricks, Daft, Pandas, etc.). \n Distributed ML \u0026 data frameworks — PyTorch, Lightning, Ray, Spark, o","salary_min":177300,"salary_max":212800,"location":"Ann Arbor, MI","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["payments","llm","generative-ai","robotics","search","autonomous-vehicles","cloud","pytorch"],"apply_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8572505002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T13:00:15Z","expires_at":"2026-08-14T14:07:36.002659Z","created_at":"2026-07-09T14:05:54.692584Z","updated_at":"2026-07-15T14:07:36.150578Z","company_name":"Torc Robotics","company_slug":"torc-robotics","company_logo_url":"https://www.google.com/s2/favicons?domain=torc.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ea933b5d-c732-402c-bd2a-5aff99b45796"},{"id":"61d3f0a3-acbd-4d78-9072-729c5a2ba997","company_id":"63bced38-3605-4e57-99f3-e213b2d40bf3","title":"Senior Data Integration Analyst","slug":"senior-data-integration-analyst-1c6eb5e5","description":"Opportunity Overview:  \n We're looking for a Senior Data Integration Analyst to join our Payment Integrity team. In this role, you'll design and validate data mapping solutions, ensure data quality across products and systems, investigate complex data issues, and support data integration and transformation efforts that power our payment integrity solutions.\n As a senior member of the team, you'll serve as a subject matter expert, mentoring other analysts, promoting best practices, and partnering with business and technical stakeholders to deliver accurate, scalable data solutions.\n This is an opportunity to combine your healthcare and data expertise to build innovative solutions that improve accuracy, efficiency, and financial outcomes for our clients.\n This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events.\n What you’ll do: \n \n Design, implement, and validate data mapping, transformation, and integration solutions across multiple systems and data sources.\n Investigate and resolve complex data quality, mapping, and integration issues while ensuring data accuracy and integrity through testing and validation.\n Partner with business and technical stakeholders to translate requirements into scalable data solutions.\n Create and maintain mapping specifications, technical documentation, and other resources that support data governance and operational excellence.\n Identify opportunities to improve data quality, automate processes, and drive operational efficiency.\n Serve as a subject matter expert by mentoring analysts, developing training materials, and promoting best practices across the team.\n \n What you’ll need: \n \n Bachelor's degree in a related field or equivalent professional experience.\n 5+ years of experience in data mapping, data analysis, and data integration.\n 3+ years of experience working with medical claims data required. \n Experience with one or more programming languages, such as SQL, Python, PySpark, or Spark SQL.\n Experience working with AWS and complex, multi-source data environments.\n Strong understanding of database design, data relationships, transformation logic, and data quality principles.\n Proven ability to troubleshoot complex data issues and deliver accurate, scalable solutions.\n Strong analytical, communication, and collaboration skills, with the ability to work independently in a fast-paced environment.\n \n Pay \u0026 Perks: \n 💻 Fully remote opportunity with about 5% travel\n 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program \n 📈 401K retirement plan with company match; flexible spending and health savings account \n 🏝️ Flex Time Off + company holidays\n 👶 Up to 14 weeks of paid parental leave \n 🐶 Pet insurance  \n The salary range for this position is $105,000 to $120,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. \n Interview Process*: \n \n Connect with Talent Acquisition for a Preliminary Phone Screening\n Meet your Hiring Manager!\n Technical Discussion \n Behavioral Interview \n \n *Subject to change\n About Cohere Health: \n Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. \n With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.\n Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 \u0026 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners. \n The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, k","salary_min":105000,"salary_max":120000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["agents","cloud","payments","healthcare"],"apply_url":"https://job-boards.greenhouse.io/coherehealth/jobs/7784512003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-07T22:29:28Z","expires_at":"2026-08-14T14:08:07.539245Z","created_at":"2026-07-09T14:06:22.382973Z","updated_at":"2026-07-15T14:08:07.664567Z","company_name":"Cohere Health","company_slug":"cohere-health","company_logo_url":"https://www.google.com/s2/favicons?domain=coherehealth.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/61d3f0a3-acbd-4d78-9072-729c5a2ba997"},{"id":"96b781f6-17c4-4f20-ab03-25b9168169cf","company_id":"63bced38-3605-4e57-99f3-e213b2d40bf3","title":"Lead Software Engineer","slug":"lead-software-engineer-601f32c7","description":"Opportunity Overview:  \n This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events.\n We are seeking a Lead Engineer to join our Engineering department. In this role, you will work on a fast-paced, collaborative, agile team to build and enhance a growing software platform. You’ll have technical responsibility for end-to-end feature releases and platform enhancements delivered by the team. This is an opportunity to define the customer-configurability capabilities of the Cohere platform..\n What you’ll do: \n \n Actively support the technical design process, bringing your expertise and analysis to help make data-driven decisions\n Contribute heavily to feature design, development, testing, and delivery of our cloud platform and web applications\n Support all parts of our platform from the database to the frontend\n Continuously discover, understand, and implement new technologies \u0026 services to maximize development efficiency\n Contribute to a culture committed to testing, quality, and attention to detail by supporting best practices such as writing and maintaining comprehensive test coverage\n Actively participate in ensuring Cohere maintains a disciplined approach to healthcare security\n Foster a community of mentorship for junior engineers on your team\n \n What you’ll need: \n \n Bachelor's degree in computer science, software engineering, or equivalent experience\n Minimum of 8 - 10 years of experience in software development lifecycle\n Experience building applications using React and TypeScript or another modern web framework\n Fluency in Java\n Experience designing and implementing scalable data services and APIs\n Hands-on in-depth experience building and maintaining services using MongoDB, Elasticsearch, DataDog or Kafka, at least one\n Experience architecting and deploying software to modern cloud infrastructure using AWS and Terraform or CloudFormation\n You have experience working on software development teams, building and deploying full stack web applications\n You are passionate about building quality products and want to own product development end-to-end, with excellent design and development standards\n You can collaborate closely with teammates in product and design to build applications providing healthcare practitioners with the highest quality user experience\n You have experience with common software development practices such as version control, unit testing, and CI/CD\n You are a team player and are interested in working at a fast-paced startup environment\n Prior experience in healthcare and life sciences is a plus, but is not required\n Experience leveraging test frameworks such as Cypress, Jest, Mocha, JUnit, or Cucumber is a plus\n Experience leveraging Groovy and Micronaut is a plus\n \n Pay \u0026 Perks: \n 💻 Fully remote opportunity with about 5% travel\n 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program \n 📈 401K retirement plan with company match; flexible spending and health savings account \n 🏝️ Flex Time Off + company holidays\n 👶 Up to 14 weeks of paid parental leave \n 🐶 Pet insurance  \n The salary range for this position is $155,000 to $175,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. \n  \n Interview Process*: \n \n Connect with Talent Acquisition for a Preliminary Phone Screening\n Meet your Hiring Manager!\n Design Interview(s)\n Cross-Functional Interview\n \n *Subject to change\n  \n About Cohere Health: \n Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. \n With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.\n Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and","salary_min":155000,"salary_max":175000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["agents","cloud","search","payments","healthcare"],"apply_url":"https://job-boards.greenhouse.io/coherehealth/jobs/7796255003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-06T19:29:18Z","expires_at":"2026-08-14T14:08:06.670173Z","created_at":"2026-07-07T14:07:14.264581Z","updated_at":"2026-07-15T14:08:06.797362Z","company_name":"Cohere Health","company_slug":"cohere-health","company_logo_url":"https://www.google.com/s2/favicons?domain=coherehealth.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/96b781f6-17c4-4f20-ab03-25b9168169cf"},{"id":"8be5a77e-d552-4f2f-915a-59f73c770576","company_id":"2721f049-2cf2-4e3e-82d0-8d8df89c8f90","title":"Senior Software Engineer (Agentic Search) - Billing","slug":"senior-software-engineer-agentic-search-billing-268d013d","description":"About Nebius: \n Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.\n Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.\n Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R\u0026D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R\u0026D.\n About  Tavily   \n We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.   \n We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.   \n  \n The Role \n We are looking for a Senior Software Engineer to design and build the billing platform behind a novel search engine tailored for agentic AI consumption. This role is based in our New York office, hybrid with the NYC team.\n Our APIs are used by millions of developers and the AI agents acting on their behalf, all paying based on what they consume. You will own the systems that turn product usage into accurate, trustworthy revenue, supporting flexible billing models—usage-based pricing, subscriptions, prepaid balances with auto top-up, and enterprise contracts. Correctness is non-negotiable: every event must be measured precisely and every invoice must be right to the cent.\n ‌\n In this position, your responsibility will be to: \n \n \n Design and operate the billing platform end to end, from usage events to invoices\n \n Build metering and usage-aggregation pipelines that turn high-volume events into billable amounts\n \n Design and operate prepaid credit/wallet systems with auto top-up and balance management\n \n Support enterprise/contract billing with custom pricing, negotiated terms, and scheduled invoicing\n \n Build reconciliation, idempotency, and invoice-accuracy safeguards to ensure revenue data is always correct\n \n Lead the migration to the next generation of our billing system with no revenue loss or downtime\n \n Define observability and quality metrics for billing correctness, freshness, and throughput\n \n Ensure billing systems meet audit and compliance requirements ( SOX , financial audit)\n \n ‌\n What  we're looking for : \n \n \n 6+ years building production backend systems, of which 3+ years actively building and operating billing or metering systems in production\n \n Hands-on experience with usage-based / metered billing: rating, aggregation, and proration logic\n \n Hands-on experience with subscription / recurring billing alongside usage-based models\n \n Hands-on experience with prepaid credits / wallet systems and auto top-up mechanics\n \n Hands-on experience with enterprise / contract billing: custom pricing and negotiated terms\n \n End-to-end integration of a third-party billing platform (Stripe Billing, Metronome, Orb, or Zuora)\n \n Strong expertise in Python and TypeScript/Node (Go a plus)\n \n Production experience with transactional databases (Postgres or equivalent) for financial-grade data\n \n Built high-volume event / usage pipelines into a data warehouse (Kafka or Kinesis → Snowflake or BigQuery)\n \n Owned billing correctness in production: reconciliation, idempotency, invoice accuracy\n \n Product-Led Growth (PLG) experience: worked on billing for high-volume, self-serve users\n \n Hands-on with Auth0, Okta, or similar identity systems in production\n \n Shipped revenue systems under SOX or financial audit constraints\n \n  \n Nice to have: \n \n \n Led a billing system migration or re-platform with zero revenue loss or downtime\n \n Built hybrid billing combining usage, subscriptions, and prepaid in one system\n \n Worked across both a payments layer (Stripe) and a metering / rating layer (Metronome / Orb)\n \n Billed a developer-facing / API product with pay-as-you-go and API-key metering\n \n Used Snowflake for usage aggregation and revenue analytics\n \n  \n Why  Tavily ?   \n \n Full ownership  — small team, you own the entire infrastructure, not a slice of it   \n \n \n Real scaling challenges  — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests   \n \n \n AI-native company  — your infra directly powers AI agents used by leading companies in the spac","salary_min":147200,"salary_max":224300,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","data-pipeline","llm","search","rag","payments","agents","code-generation"],"apply_url":"https://careers.nebius.com/?gh_jid=4919759101","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-06T09:53:24Z","expires_at":"2026-08-14T14:17:17.412443Z","created_at":"2026-07-06T14:15:20.205556Z","updated_at":"2026-07-15T14:17:17.590053Z","company_name":"Nebius","company_slug":"nebius","company_logo_url":"https://www.google.com/s2/favicons?domain=nebius.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8be5a77e-d552-4f2f-915a-59f73c770576"}],"market_demand_pack":{"amount_cents":2900,"api_checkout_url":"https://aidevboard.com/api/v1/checkout?product_id=aidevboard_ai_skills_demand_pack","checkout_url":"https://aidevboard.com/market-demand-pack?qc=api-jobs-market-demand-pack\u0026utm_campaign=skills_demand_pack\u0026utm_medium=jobs_api\u0026utm_source=api","currency":"USD","description":"Full ranked public AI/ML demand CSV, source job URLs, and decision brief with market and offer angles.","fulfillment":"automatic_email_after_paid_checkout","human_checkout_url":"https://aidevboard.com/market-demand-pack?qc=api-jobs-market-demand-pack\u0026utm_campaign=skills_demand_pack\u0026utm_medium=jobs_api\u0026utm_source=api","name":"AI Market Demand Pack","next_step":"Open checkout_url for Stripe Checkout, or call api_checkout_url to get the non-charging checkout handoff payload.","price_usd":29,"product_id":"aidevboard_ai_skills_demand_pack","quote_url":"https://aidevboard.com/api/v1/quote?product_id=aidevboard_ai_skills_demand_pack"},"page":1,"per_page":20,"total":1385,"total_pages":70}