{"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":"acccc186-1fa0-414d-bb62-82bf62875fe7","company_id":"b467c425-56b3-40ce-826a-e603e82a08bd","title":"Senior Machine Learning Engineering Manager","slug":"senior-machine-learning-engineering-manager-74e24ae5","description":"Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  \n At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  \n A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. \n Why Safety AI Systems? \n As Senior Engineering Manager for Safety AI Systems at Roblox, you'll lead technical efforts and manage a team of experienced engineers to develop innovative AI solutions for multimodal content safety. You’ll oversee machine learning systems, constructing multimodal model architectures, improving data quality, training pipelines, and model performance to address challenges like real-time multi-verse content understanding and advanced moderation with large vision language models, spanning avatars, images, videos, audios, text, code / data models, and their composites. \n In close collaboration with product, policy, and Trust \u0026 Safety teams, you'll design large-scale systems to detect and mitigate abusive behavior before it harms the community. You'll own critical services at massive scale, balancing user freedom with platform civility to protect and empower our users. Your leadership will help ensure Roblox remains a safe, inclusive space for self-expression and shared experiences.\n You Will \n \n Own the vision, technical direction, and execution of machine learning solutions for the Multimodal Safety AI system, ensuring these systems effectively detect and prevent harmful content at scale.\n Lead and grow a high-performing team of ML engineers, fostering a culture of innovation, technical excellence, accountability, and inclusivity, while mentoring and developing talent.\n Break down ambitious long-term goals into an actionable, iterative roadmap – delivering continuous improvements in stages and driving tangible value at each step.\n Architect and guide the development of large-scale machine learning models with innovative architectures, ensuring they achieve high quality and are production-ready.\n Drive alignment on complex technical decisions across multiple teams (within and beyond the Safety org), demonstrating empathy and building consensus among diverse stakeholders.\n Collaborate cross-functionally with Product, Data Science, Policy, Design, and Operations partners to define and prioritize the machine learning roadmap for multimodal safety initiatives, ensuring alignment with broader Safety and Roblox objectives.\n Stay ahead of emerging trends in AI/ML and content moderation techniques, continuously innovating our safety approaches to anticipate new challenges. \n \n You Have \n \n 5+ years of experience building large-scale machine learning systems in production environments.\n Proven track record of designing, developing, and launching ML models from scratch into production.\n 2+ years of hands-on experience with vision language models or other foundation model technologies.\n Expertise in solving complex ML modeling, data, and infrastructure challenges – with a focus on maintaining high quality and velocity at scale.\n Ability to thrive in ambiguity: you excel at bringing clarity and direction to undefined or open-ended problem spaces.\n Demonstrated success collaborating across functions (e.g. Product, Design, Data, Research), working together to drive meaningful business and user impact.\n Strong product sense: able to establish clear success metrics and craft strategic roadmaps to achieve those goals.\n High emotional intelligence: adept at resolving conflicts, mentoring engineers, and nurturing the growth of your team members.\n Experience with modern microservice architectures and distributed systems programming paradigms (e.g. cloud services, scalable data pipelines).\n Hands-on to dive into code/architecture and guide technical discussions when needed, in addition to high-level planning. \n \n You Are \n \n Creative and strategic problem-solver: able to distill complex issues into simple, innovative solutions that drive impact.\n An owner: you take responsibility for projects and outcomes end-to-end, and instill the same accountability in your team.\n A lifelong learner: constantly seeking new knowledge and techniques to grow your expertise and expand your impact.\n Independent and self-directed: capable of charting a course with minimal guidance, and comfortable making decisions in uncertain situations.\n Highly collaborative: effective at working with cross-functional partners and teams, and skilled a","salary_min":295250,"salary_max":345040,"location":"San Mateo, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","generative-ai","microservices","distributed-systems","machine-learning"],"apply_url":"https://careers.roblox.com/jobs/8047877?gh_jid=8047877","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-16T02:50:02Z","expires_at":"2026-08-15T14:18:31.254864Z","created_at":"2026-07-16T14:18:31.377819Z","updated_at":"2026-07-16T14:18:31.377819Z","company_name":"Roblox","company_slug":"roblox","company_logo_url":"https://www.google.com/s2/favicons?domain=roblox.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/acccc186-1fa0-414d-bb62-82bf62875fe7"},{"id":"da65e8fc-123b-47b4-a19f-f1b5fde0fc84","company_id":"77beb456-fc80-40a4-b773-f0b17d1ece4c","title":"AI Infrastructure Engineer","slug":"ai-infrastructure-engineer-aabaa04d","description":"ABOUT MESHY\n\nHeadquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1.\n\nOur world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding.\n\nMeshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models.\n\nFounder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations.\n\n\n\n\n\nABOUT THE ROLE\n\n - This role sits at the intersection of platform engineering, site reliability, and applied ML systems. The function owns the reliability, scalability, and operability of Meshy's AI model serving stack, along with core engineering infrastructure. The team operates a conventional production infrastructure (CI/CD, build systems, deployment, runtime environments) and develops a model-serving platform that connects the models developed by our Research Team to product-facing backend systems. The position is systems-heavy, production-oriented, and focused on turning experimental model artifacts into robust, observable, and cost-efficient services.\n\n\n\n\n\nJOB RESPONSIBILITIES\n\n - Responsible for the design, development, and optimization of core capabilities for the AI inference platform, including key modules such as inference services, task scheduling, service orchestration, elastic scaling, and release governance.\n\n - Participate in the development of CPU/GPU resource management systems to optimize stability, resource utilization, and cost efficiency in scenarios where online inference and training tasks are run on the same cluster.\n\n - Drive the unified management and scheduling of GPU resources, and explore the practical implementation of capabilities such as MIG, MPS, time-sharing, and virtualization in real-world business operations.\n\n - Continuously optimize the throughput, latency, and availability of the inference pipeline, refining engineering quality in complex inference pipelines, multi-model collaboration, and high-concurrency scenarios.\n\n - Focus on R\u0026D efficiency, resource and cost management, online stability, and disaster recovery architecture design to drive the company’s continuous evolution in performance, reliability, and maintainability.\n\n - Explore AI-native infrastructure and automated operations to make infrastructure smarter and more user-friendly, supporting the company’s rapid expansion during its startup phase.\n\n \n\n\nQUALIFICATIONS\n\n - Bachelor’s degree or higher; majors in Computer Science, Software Engineering, Artificial Intelligence, Telecommunications, or related fields are preferred.\n\n - 1 to 3 years of experience in backend development, infrastructure, cloud-native platforms, machine learning platforms, or AI platforms.\n\n - Proficiency in at least one of Go or Python, with solid software engineering skills and a strong commitment to code quality.\n\n - Understanding of fundamental principles in Linux, operating systems, computer networks, and distributed systems; ability to independently identify and resolve complex engineering issues.\n\n - Practical development experience with Kubernetes, Docker, microservices, or distributed systems, with a basic understanding of production system stability.\n\n - Real-world project experience in areas such as model inference, task orchestration, resource scheduling, and service stability—beyond mere conceptual understanding.\n\n - Self-motivated, curious, and a fast learner; willing to take on greater ownership and broader responsibilities in a startup environment, while continuously learning and quickly adopting new technologies.\n\n\nNICE TO HAVE\n\n - Experience with GPU inference platforms, Kubernetes schedulers, Device Plugins, or related platform development.\n\n - Familiarity with frameworks such as Ray and Ray Serve, or experience in developing and optimizing model serving, distributed in","salary_min":175000,"salary_max":300000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["mlops","distributed-systems","agents","microservices","generative-ai","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/meshy/e82eca7a-4704-4af3-a84f-94c6fb5e1034/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T21:33:17.539Z","expires_at":"2026-08-15T14:10:57.375606Z","created_at":"2026-04-13T15:01:38.817296Z","updated_at":"2026-07-16T14:10:57.489777Z","company_name":"Meshy","company_slug":"meshy","company_logo_url":"https://www.google.com/s2/favicons?domain=meshy.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/da65e8fc-123b-47b4-a19f-f1b5fde0fc84"},{"id":"983ab9e8-9226-4b77-a521-b03c442804e8","company_id":"6734f15a-40ed-4186-ae4a-d774c655ae58","title":"Senior Director, Software Development, Test Automation","slug":"senior-director-software-development-test-automation-8909403d","description":"Your Impact at LILA \n The Role \n We're hiring a Senior Director, Software Development, Test Automation Systems to architect and build Lila's test automation platform and quality engineering practice for our AI-powered scientific and lab automation products. Reporting to the VP of Engineering, you'll own the test automation system, CI/CD test infrastructure, AI-driven test tooling, and the eval discipline that hold the bar across our SDLC.\n This is a builder-leader role. You will drive the quality vision, write requirements, make sharp build-vs-buy calls, drive execution, and build and lead a small (3–5 person) team that delivers leverage. The operating model is federated: you own the platform, standards, and metrics; engineering teams own test execution. You scale through tooling and influence.\n As you scale into this role, you'll also stand up the QC framework for our lab automation system — the validation patterns, harnesses, and contracts that science operations teams will operate day-to-day. Data integrity and ALCOA+ compliance are foundational to everything you build.\n What You'll Be Building \n What You'll Do \n Architect and ship the test automation platform \n \n Design and build the test automation platform — frameworks, fixtures, golden datasets, test orchestration, and reporting — that the engineering org adopts by default\n Set standards across unit, integration, contract, end-to-end, regression, performance, and chaos testing for backend services, the frontend monorepo, and data pipelines\n Treat platform adoption, flake rate, and time-to-signal as first-class engineering metrics\n \n Make build-vs-buy decisions with conviction \n \n Own the buy/build/borrow strategy across test infrastructure, eval platforms, browser/device clouds, observability, and lab QC tooling\n Justify every choice with TCO, signal quality, integration cost, and time-to-leverage — and revisit decisions as the org and tech landscape evolve\n Bias toward leverage: buy commodity capabilities, build the differentiators (Lila-specific AI evals, lab QC, scientific data integrity)\n \n Modernize CI/CD for fast, reliable signal \n \n Own the test execution layer of CI/CD: parallelization, caching, hermetic environments, ephemeral preview envs, and affected-only test selection across our Nx monorepo/microservices.\n Build retry, quarantine, and impact-analysis systems so signal stays sharp as the org scales\n Drive change-failure rate, MTTR, Test effectiveness, pipeline efficiency, coverage, and PR-to-prod lead time as outcomes\n \n Drive AI-driven test automation \n \n Apply LLMs across the full test lifecycle: test generation from specs and PRs, self-healing UI tests, synthesis, visual regression with vision models, and AI-assisted failure triage\n Validate every AI-generated test through evals — no LLM-authored test ships without proof it doesn't degrade signal\n Establish the eval discipline for Lila's AI/agent stack: golden datasets, rubrics, regression suites, offline + online evaluation pipelines\n \n Define and operate the quality metrics system \n \n Define quality SLOs and adoption metrics by team and service: coverage, escape rate, MTTR, change-failure rate, eval pass rate, lab QC violation rate\n Build dashboards that make quality visible from PR to executive review\n Apply Google SRE practices to prioritize where investment goes\n \n Mid-long term - Stand up the QC framework for lab automation \n \n Design the validation framework, harnesses, and contracts that lab and Science Ops teams will operate\n Embed ALCOA+ principles: data integrity, audit trails, lineage from sample → instrument → output\n Partner with Research Ops on pre-flight, in-flight, and post-flight validation patterns for autonomous lab execution\n \n Lead and coach across the engineering org \n \n Build a 3–5 person team of test automation engineers focused on platform leverage, not on writing tests for other teams\n Coach engineering teams on test design, quality investments, and adoption — make it cheaper to test well than to ship blind\n Translate UX and customer issues into testable contracts and platform improvements\n \n First 6–12 Month Outcomes \n \n First 90 days: Establish baselines — flake rate, time-to-signal, change-failure rate, coverage, and current build-vs-buy footprint — and publish a quality scorecard with the first set of SLOs. Hire or onboard the initial 1–2 platform engineers.\n By 6 months: Ship v1 of the test automation platform adopted by at least one flagship engineering team by default; land CI/CD test-execution improvements (parallelization, affected-only selection, flake quarantine) with measurable time-to-signal reduction. Stand up the eval discipline (golden datasets, rubrics, regression suites) for the AI/agent stack.\n By 12 months: Drive default platform adoption across the engineering org; demonstrate AI-driven test automation in production with eval-gated rollout. Deliver the first operating version of the lab automation QC framework","salary_min":260000,"salary_max":390000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["microservices","data-pipeline","llm","agents"],"apply_url":"https://job-boards.greenhouse.io/lilasciences/jobs/4294875009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T17:08:40Z","expires_at":"2026-08-15T14:19:14.949174Z","created_at":"2026-07-10T14:18:15.339369Z","updated_at":"2026-07-16T14:19:15.067492Z","company_name":"Lila Sciences","company_slug":"lila-sciences","company_logo_url":"https://www.google.com/s2/favicons?domain=lila.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/983ab9e8-9226-4b77-a521-b03c442804e8"},{"id":"5b4c2841-d819-4ab1-87e4-988c9bff0235","company_id":"a0000000-0000-0000-0000-000000000003","title":"Senior Software Engineer, Identity","slug":"senior-software-engineer-identity-542360e2","description":"Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition.\n At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.\n At the foundation of these products is the Identity  Engineering team.  In this role, you will help support the design and development of core software systems specifically focused on identity, access management, authorization, and authentication.  You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.\n You will:\n \n Drive the design, and implementation of our identity infrastructure to ensure secure authentication and authorization across enterprise systems.\n Build software for authentication mechanisms such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federated identity solutions (SAML, OAuth, OpenID Connect).\n Build software for authorization mechanisms such as Relation-based access control (ReBAC), Attribute-based access control (ABAC), Role-based access control (RBAC).\n Build software-defined identity governance policies to ensure compliance with security policies, industry regulations (e.g., NIST, SOC2, ISO 27001), and organizational standards.\n Present technical information to teams and stakeholders, providing guidance and insight on identity management and best practices.\n \n Ideally you’d have:\n \n 5+ years of full-time engineering experience, post-graduation with specialities in infrastructure and identity systems.\n Infrastructure expertise – IAM controls, Infrastructure as Code (Terraform, Pulumi), microservice deployment best practices.\n Hands-on experience working with OpenFGA, Authzed, Cedar, Topaz, or similar authorization frameworks at scale.\n Strong understanding of Zanzibar-based ReBAC models, relationship tuples, and access control evaluation.\n Strong knowledge of authentication standards such as OAuth 2.0, OIDC, SAML, and JWT, as well as industry standard IdP solutions like EntraID, Okta, etc.\n Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).\n Show a track record of independent ownership of successful engineering projects.\n Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.\n \n Nice to haves:\n \n Experience securing API access and implementing access control mechanisms at the application level.\n Multi-cloud infrastructure experience – AWS, Azure, GCP, and more.\n Proficiency in integrating IAM solutions with applications built using frameworks such as Java, Python, Node.js, or .NET.\n Mentorship/leadership experience supporting junior engineers\n Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. \n Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seat","salary_min":216000,"salary_max":270000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","pre-training","microservices","reinforcement-learning","fine-tuning","generative-ai","llm","cloud"],"apply_url":"https://job-boards.greenhouse.io/scaleai/jobs/4711898005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T18:08:31Z","expires_at":"2026-08-15T14:01:44.011459Z","created_at":"2026-07-09T14:01:29.84661Z","updated_at":"2026-07-16T14:01:44.124451Z","company_name":"Scale AI","company_slug":"scale-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=scale.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/5b4c2841-d819-4ab1-87e4-988c9bff0235"},{"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","code-generation","payments","api-design","llm","generative-ai","data-pipeline"],"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":"2026-08-15T14:05:36.596807Z","created_at":"2026-07-09T14:05:02.804304Z","updated_at":"2026-07-16T14:05:36.740222Z","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":"b3a015af-b684-456c-a54e-896dc1546f22","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Lead Software Architect, Battlespace Awareness ","slug":"lead-software-architect-battlespace-awareness-f405c12e","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 At Anduril, our Battelspace Awareness Command and Control Software team specializes in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what's possible to deliver advanced technologies with mission-critical applications. Our commitment doesn't end with academic research or proof-of-concept experiments; we measure our success by the real-world impact of our deployed solutions. \n  \n ABOUT THE JOB \n We are looking for a Lead Software Architect to join our rapidly growing C2 Systems team in  Broomfield, CO.   In this role, you will be responsible for defining the architectural direction of large-scale, real-time, mission-critical C2 software that powers Anduril's air and missile defense and battlespace awareness capabilities. You will lead the design of high-performance systems spanning tactical edge deployments to distributed backend infrastructure, make critical trade-offs between performance, modularity, and maintainability at scale, and mentor senior engineers across the C2 organization . This will require deep expertise in  modern C++ and Rust , experience architecting numerics-heavy real-time systems, fluency with asynchronous/multithreaded programming (e.g., Tokio), and a strong grasp of the complex intersection of software and math — including state estimation, target tracking, optimization, and dynamic programming (MCP / Bellman equations) . If you are someone who thrives on ambitious defense problems, enjoys troubleshooting real-world systems where issues could range from electromagnetics to faulty bit encodings to incorrect math assumptions, and wants to build software that is beyond a proof-of-concept — part of real tactical code deployed to the warfighter — then this role is for you\n WHAT YOU’LL DO\n \n Define and drive the architectural vision for large-scale C2 software systems that ingest, fuse, and act on data from diverse sensors in real time\n Lead the design and implementation of performant, real-time, numerics-heavy algorithms in Rust and/or C++ at production scale\n Partner closely with research scientists to transition advanced algorithms (target tracking, state estimation, sensor-effector pairing, asset scheduling) from prototype into tactical, deployed code\n Make high-leverage architectural trade-offs across performance, modularity, testability, and maintainability for mission-critical, edge-deployed systems\n Mentor and technically lead senior engineers, setting coding standards, review processes, and CI/CD best practices across the team\n Engage directly with customers (DoD agencies, Army, Air Force, MDA, SCO) to ensure successful outcomes for mission-critical needs\n Troubleshoot complex, real-world system issues spanning software, math assumptions, sensor behavior, and networking\n Contribute to all phases of the software development lifecycle including prototyping, modeling \u0026 simulation, field testing, and deployment\n Help shape hiring and technical growth of the broader C2 organization as it hyper scales\n \n REQUIRED QUALIFICATIONS\n \n 10+ years of software engineering experience with a Bachelor's degree (or equivalent) in Computer Science, Applied/Computational Mathematics, Electrical Engineering, Aerospace Engineering, Controls/Dynamical Systems, Statistics, or related field\n Expert-level proficiency in modern C++ and/or Rust, including asynchronous and multithreaded programming (e.g., Tokio for Rust)\n Proven experience architecting large-scale, production-grade codebases in real-time or high-performance environments\n Deep experience writing performant, real-time software with numerics-heavy algorithms\n Strong foundation in applied mathematics: probability theory, linear algebra, optimization, differential equations (ODEs), and statistics\n Experience with CI/CD, unit testing, git version control, and microservices\n Eligible to obtain and maintain an active U.S. Secret security clearance\n \n PREFERRED QUALIFICATIONS\n \n M.S. or Ph.D. in a technical field (dual academic background in software + math highly valued)\n Domain expertise in target tracking, state estimation, Kalman filters, sensor fusion, or signal processing \n Prio","salary_min":219000,"salary_max":290000,"location":"Broomfield, CO","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","computer-vision","gpu","microservices","payments","cloud"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5178351007?gh_jid=5178351007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-01T19:26:15Z","expires_at":"2026-08-15T14:07:38.585728Z","created_at":"2026-07-03T14:06:38.649716Z","updated_at":"2026-07-16T14:07:38.71139Z","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/b3a015af-b684-456c-a54e-896dc1546f22"},{"id":"7076d892-7466-4fa7-947a-419a9fd28340","company_id":"a0000000-0000-0000-0000-000000000003","title":"Software Engineer, Identity","slug":"software-engineer-identity-c818ccb1","description":"Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition.\n At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.\n At the foundation of these products is the Identity  Engineering team.  In this role, you will help support the design and development of core software systems specifically focused on identity, access management, authorization, and authentication.  You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.\n You will:\n \n Drive the design, and implementation of our identity infrastructure to ensure secure authentication and authorization across enterprise systems.\n Build software for authentication mechanisms such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), and federated identity solutions (SAML, OAuth, OpenID Connect).\n Build software for authorization mechanisms such as Relation-based access control (ReBAC), Attribute-based access control (ABAC), Role-based access control (RBAC).\n Build software-defined identity governance policies to ensure compliance with security policies, industry regulations (e.g., NIST, SOC2, ISO 27001), and organizational standards.\n Present technical information to teams and stakeholders, providing guidance and insight on identity management and best practices.\n \n Ideally you’d have:\n \n 3+ years of full-time engineering experience, post-graduation with specialities in infrastructure and identity systems.\n Infrastructure expertise – IAM controls, Infrastructure as Code (Terraform, Pulumi), microservice deployment best practices.\n Hands-on experience working with OpenFGA, Authzed, Cedar, Topaz, or similar authorization frameworks at scale.\n Strong understanding of Zanzibar-based ReBAC models, relationship tuples, and access control evaluation.\n Strong knowledge of authentication standards such as OAuth 2.0, OIDC, SAML, and JWT, as well as industry standard IdP solutions like EntraID, Okta, etc.\n Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).\n Show a track record of independent ownership of successful engineering projects.\n Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.\n \n Nice to haves:\n \n Experience securing API access and implementing access control mechanisms at the application level.\n Multi-cloud infrastructure experience – AWS, Azure, GCP, and more.\n Proficiency in integrating IAM solutions with applications built using frameworks such as Java, Python, Node.js, or .NET.\n Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. \n Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:\n $216,000 — $270,000 USD \n PLEASE NOTE:  Our policy","salary_min":216000,"salary_max":270000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["reinforcement-learning","llm","distributed-systems","microservices","pre-training","fine-tuning","generative-ai","cloud"],"apply_url":"https://job-boards.greenhouse.io/scaleai/jobs/4710484005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-30T20:51:01Z","expires_at":"2026-08-15T14:01:45.306382Z","created_at":"2026-07-01T14:01:23.481984Z","updated_at":"2026-07-16T14:01:45.46945Z","company_name":"Scale AI","company_slug":"scale-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=scale.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/7076d892-7466-4fa7-947a-419a9fd28340"},{"id":"f687ed3d-5423-4986-a3d4-e5cae2d4a422","company_id":"19a78c6a-11dc-4d21-8273-0d2d2bad39b1","title":"Staff Software Engineer","slug":"staff-software-engineer-a38eaeda","description":"Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. We are looking for a fullstack Staff Software Engineer to join the Toast IQ team to transform how Toast helps its customers run their restaurants.\n Toast IQ has landed with our users with much excitement and an appetite for us to deliver more capabilities across the entire Toast ecosystem.  We believe that if we do our job right, restaurants using Toast IQ will spend less hours on operations, make better margins, generate more revenue, and have a better guest and employee experience, compared to other restaurants outside and within the Toast ecosystem.\n This role includes responsibility for the experience delivered to our end users, the services backing that experience, and the integrations to other Toast products.\n A day in the life (Responsibilities) \n \n Join a collaborative team of Design, Product, QA, and other engineering members in developing robust and scalable full-stack software applications.\n Lead complex projects that improve functionality and reliability for our customers\n Provide design feedback and participate in code reviews to ensure implementation meet requirements\n Drive architectural discussions and influence the technical roadmap\n Advocate for best coding practices to raise the bar for you, your team, and the company\n Mentor and provide technical guidance to other team members\n Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.\n \n What you'll need to thrive (Requirements) \n \n 8+ years of full-stack experience in Java, Kotlin, or other object-oriented languages, and modern web frameworks such as React.\n Proficient with modern web standards and technologies (e.g. REST, GraphQL)\n Proficient with non-relational data stores (e.g. DynamoDB)\n Experience with applied machine learning or large language models. \n Experience with distributed systems, enterprise messaging systems, and/or microservices\n Experience delivering high-quality, reliable services to production\n Excellent cross-team communication skills on complex technical topics\n Passionate about technology and learning new things\n \n AI at Toast \n At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.\n Our Total Rewards Philosophy  We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at  https://careers.toasttab.com/toast-benefits .\n This role is for a current vacancy.\n #LI-REMOTE\n The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. \n Pay Range \n $175,000 — $227,000 USD \n How Toast Uses AI in its Hiring Process \n Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring \n Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region:  https://careers.toasttab.com/locations-toast \n Diversity, Equity, and Inclusion is Baked into our Recipe for Success \n At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.\n We Thrive Together","salary_min":175000,"salary_max":227000,"location":"Remote (Canada)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","llm","api-design","microservices"],"apply_url":"https://careers.toasttab.com/jobs?gh_jid=7818286","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-30T17:59:55Z","expires_at":"2026-08-15T14:10:30.691819Z","created_at":"2026-07-01T14:09:32.590841Z","updated_at":"2026-07-16T14:10:30.835937Z","company_name":"Toast","company_slug":"toast","company_logo_url":"https://www.google.com/s2/favicons?domain=pos.toasttab.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f687ed3d-5423-4986-a3d4-e5cae2d4a422"},{"id":"b1503004-4ee6-4913-b39e-436e1b0b71e3","company_id":"e455f75a-a424-4955-9844-afebe8ea6eb4","title":"Staff Software Engineer, AI-Core (Federal)","slug":"staff-software-engineer-ai-core-federal-d4f97c97","description":"Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.\n Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.\n The AI-Core Team \n The team is building a scalable Agentic AI platform for agents that run real engineering work, agents that write code, triage incidents, investigate alerts, remediate vulnerabilities, upgrade libraries, patch flaky tests, automate runbooks, and other workloads across Okta's infra. Owning this platform means owning the hard cross cutting problems: agent identity, delegated access, secure isolated execution, orchestration, and governance, at the scale and reliability bar that Infra demands. The work is novel and high ownership, and the candidate should be drawn to problems the industry hasn't solved yet.\n What You'll Work On \n \n Design and implement backend APIs and services that make up the agentic platform\n Build the agent identity and machine-to-machine authentication system, including credential management and delegated access flows\n Build the agent knowledge base and memory layer so agents retain context within and across sessions\n Build the observability layer for agents: tracing, cost tracking, audit logs, and dashboards that make agent behavior debuggable in production\n Build the governance and safety layer: policy enforcement on tool calls, content filtering, PII protection, and human-in-the-loop approval flows\n Build the orchestration layer that coordinates multi-step agent workflows with state persistence and error recovery\n Collaborate with Product, SRE, Security, Data Platform, Observability and other domain partners to shape what each layer looks like and how it integrates with the broader Okta platform\n \n  \n You Might Be a Good Fit If You Have \n \n 5+ years of software engineering experience building production backend systems.\n 1+ years of exposure to AI/ML or agentic applications, whether through production work, side projects, or hands-on experimentation.\n Strong proficiency in one or more backend languages (Python, TypeScript/Node.js, Go, or similar)\n Hands-on experience designing and operating distributed systems: APIs, microservices, container orchestration, and serverless technologies\n A security-conscious mindset around credential handling, trust boundaries, and what can go wrong at integration points; familiarity with OAuth, OIDC, or other modern auth patterns.\n Comfort operating in ambiguous, fast-moving environments where the problem definition evolves alongside the solution and the right abstractions are still being invented.\n \n Bonus: Exposure to LLM integration, RAG pipelines, MCP, or agent orchestration frameworks like LangChain, LangGraph, or the Claude/OpenAI SDKs. Bonus: Experience with policy-as-code authorization (Cedar, OPA), agent identity patterns, or building developer-facing APIs and SDKs. \n Why You'll Love It Here \n \n You'll learn fast. The problems this team works on, agentic systems, secure execution at scale, the platform layers that make agents reliable in production, are ones the industry is still figuring out, and you'll be in the room when those answers get written. You'll also have room to shape how you grow, whether that means going deeper on backend systems, leaning into AI/ML, or moving toward technical leadership over time.\n And you'll build things that actually get used. The platform you ship will be the foundation other teams build their agents on, and the work compounds quickly, what you ship this quarter shapes what's possible next quarter. \n \n Required:  \n The employee must be either a U.S. citizen as defined in 42 U.S. Code § 9102; a natural person who is a lawful permanent resident as defined in 8 U.S.C.  1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3); or a U.S. national (i.e. includes citizens and non-citizens born in outlying possessions such as American Samoa and Swains Island), green card holders, refugees, and asylees.  Working on a U.S. visa does NOT qualify as a U.S. person. \n #LI-Hybrid\n (P16362_3441309)\n  \n Below is the annual base salary range for candidates locat","salary_min":194000,"salary_max":267000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["agents","distributed-systems","microservices","llm","rag","infrastructure"],"apply_url":"https://www.okta.com/company/careers/opportunity/7917002?gh_jid=7917002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-29T20:50:30Z","expires_at":"2026-08-15T14:10:02.039518Z","created_at":"2026-06-30T14:08:53.470298Z","updated_at":"2026-07-16T14:10:02.154255Z","company_name":"Okta","company_slug":"okta","company_logo_url":"https://www.google.com/s2/favicons?domain=okta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b1503004-4ee6-4913-b39e-436e1b0b71e3"},{"id":"4c091a37-31f1-417f-81da-72319a3473b9","company_id":"7455e78c-482b-4f7b-9d62-11b78645818a","title":"Software Engineer II - Cloud Infrastructure Engineer","slug":"software-engineer-ii-cloud-infrastructure-engineer-e999781d","description":"About the Role \n Abnormal AI is an AI-native behavioral security platform that protects enterprises from advanced threats by analyzing and understanding communication patterns and access behavior at scale. We now protect more than 25% of the Fortune 500, and as we expand into new product lines and geographies, a scalable, reliable infrastructure foundation is critical to our next phase of growth.\n The Platform \u0026 Infrastructure team is seeking a Cloud Infrastructure Engineer for our Cellular Infrastructure team. This team owns the full lifecycle of Abnormal’s cell-based deployment architecture—bootstrapping new cells, deploying our entire application and infrastructure stack onto them, and keeping every cell healthy, isolated, cost-efficient, and compliant. Engineers on this team wear multiple hats: infra engineering, application-layer debugging, and close collaboration with product and application teams to minimize overhead so those teams can stay focused on building.\n What You Will Do \n \n Bootstrap new cells end-to-end: full infrastructure setup (compute, networking, IAM, etc.) and complete application stack deployment.\n Maintain and evolve cell lifecycle tooling to make provisioning repeatable, auditable, and operator-friendly—reducing manual steps and time-to-production.\n Partner with application and product teams to design and implement scalable, cell-native architecture approaches.\n Design, build, test, scale, monitor, and maintain secure, cost-efficient infrastructure in a multi-cloud environment (AWS and Azure).\n Triage and resolve complex cross-layer issues quickly, then drive root cause fixes that prevent recurrence.\n Drive down technical debt and toil through automation and systemic improvements to the cell deployment lifecycle.\n Participate in on-call rotation with a learning-oriented mindset, identifying systemic gaps and driving long-term reliability improvements.\n Keep cross-team communication low-friction and high-signal: proactive and well-contextualized. \n Contribute as a core member of an agile team through sprint planning, standups, and execution with a strong sense of ownership and teamwork.\n \n Must Haves \n \n Bachelor’s degree in Computer Science or a related technical field.\n 4+ years of experience engineering cloud infrastructure for production microservice systems, with attention to performance, reliability, security, and cost.\n 2+ years of Python experience, including application-layer code (not just scripts).\n 1+ year of experience with Kubernetes and Helm.\n 1+ year of AWS experience ( VPC, IAM, S3, Route 53, CloudFront, EKS, ECS, CloudWatch)\n 1+ year of Terraform and HCL experience.\n Comfort operating across infra and application engineering without hard boundaries.\n Experience with on-call rotations, incident response, and operating production-grade systems.\n Practical experience using Generative AI tools in day-to-day engineering workflows.\n Strong communication skills and the ability to thrive in a fast-paced, remote-first environment—balancing autonomy with collaboration, demonstrating a bias toward action, and maintaining a positive, constructive mindset.\n \n Nice to Haves \n \n Experience with Bash, Golang, Terragrunt and data infrastructure (Spark, Databricks)\n Hands-on experience with cell-based, multi-tenant, or multi-region infrastructure architectures.\n Familiarity with Generative AI developer tools such as Claude Code, and experience driving AI-first engineering workflows.\n Prior experience building large-scale IaC abstractions or internal developer platforms.\n AWS certifications.\n \n #LI-ML1\n Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.\n Base salary range:\n $149,200 — $214,500 USD \n AI and our hiring process Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person.\n Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please  click here . If you would like more information on your EEO rights under the law, please  click here .","salary_min":149200,"salary_max":214500,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"mid","tags":["cloud","generative-ai","microservices","infrastructure"],"apply_url":"https://abnormal.ai/careers/jobs/7782567003?gh_jid=7782567003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-24T23:50:32Z","expires_at":"2026-08-15T14:04:19.632517Z","created_at":"2026-06-28T14:03:48.272089Z","updated_at":"2026-07-16T14:04:19.876141Z","company_name":"Abnormal Security","company_slug":"abnormal-security","company_logo_url":"https://www.google.com/s2/favicons?domain=abnormalsecurity.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4c091a37-31f1-417f-81da-72319a3473b9"},{"id":"19355407-ba64-4d1d-9685-a74fcbe3a19d","company_id":"26618e2f-35c7-42eb-8f60-bd25a7e9a0d2","title":"Staff Software Engineer - AI Platform Team","slug":"staff-software-engineer-ai-platform-team-93d4b769","description":"Ready to do the most impactful work of your career? At  Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for \"good enough,\" you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”  learn more about working at Coinbase .\n As a Staff Software Engineer on the AI Platform team within the Platform  group, you'll build and operate the LLM and agent infrastructure that every team at Coinbase depends on. This team owns the company's single path to large language models and the full agent lifecycle: build, deploy, run, observe, and improve. You'll lead multi-quarter technical initiatives across the platform, from gateway and runtime systems to knowledge bases and applied AI agents, directly shaping how Coinbase scales AI across the organization.\n What you'll do: \n \n Own the architecture and delivery of core platform systems including the LLM Gateway (60+ models, auth, PII redaction, fallbacks, cost optimization), AI Hub, and agent runtime with microVM sandboxes and governed MCP gateway\n Drive the design and implementation of Knowledge Base infrastructure, connecting data sources to auto-provisioned vector and markdown stores queryable by any agent\n Lead AI FinOps capabilities including spend attribution, governance, and cost optimization across all AI workloads company-wide\n Partner across engineering, security, legal, finance, product, and external partners at frontier labs and major cloud providers to ship high-impact platform capabilities\n Build evaluation and observability tooling including LLM-as-judge harnesses, full tracing, and feedback loops that let subject matter experts refine production agents\n Shape applied AI strategy by embedding with teams to build production agents, applying fine-tuning and traditional ML where it outperforms prompting\n \n Required Skills and Experience: \n \n 8+ years of software engineering experience with at least 3 years building ML/AI infrastructure, LLM systems, or distributed platform services at scale\n Demonstrated ability to lead multi-quarter, Staff-level initiatives end-to-end, from technical design through production operation, with measurable platform-wide impact\n Deep expertise in LLM orchestration patterns, agent frameworks, vector databases, and model serving infrastructure across multiple providers\n Proven track record of cross-functional partnership with security, legal, and product teams to ship governed, production-grade AI systems\n Fluency in Python and at least one systems language (Go, Rust, or C++), with production experience building APIs, microservices, and runtime environments\n Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.\n \n Public Blog Posts: \n \n NodeSmith: AI-Driven Automation for Blockchain Node Upgrades \n Making Smarter Decisions, Faster with AI at Coinbase \n CB-GPT - The opportunity and the vision for GenAI at Coinbase \n Lessons from launching Enterprise-grade GenAI solutions at Coinbase \n AWS re:Invent 2025 - Scaling support, compliance, \u0026 productivity with conversational AI at Coinbase \n \n Job ID#: P76979\n Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). \n  \n Annual base salary range (excluding equity and bonus):\n $218,025 — $256,500 USD \n \n Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.\n Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. \n US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. \n Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . \n Data Privacy \u0026 Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .","salary_min":218025,"salary_max":256500,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["embeddings","mlops","microservices","fine-tuning","cloud","agents","generative-ai","llm"],"apply_url":"https://www.coinbase.com/careers/positions/8025505?gh_jid=8025505","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-24T20:19:53Z","expires_at":"2026-08-15T14:09:50.538691Z","created_at":"2026-06-28T14:08:52.238169Z","updated_at":"2026-07-16T14:09:50.669022Z","company_name":"Coinbase","company_slug":"coinbase","company_logo_url":"https://www.google.com/s2/favicons?domain=www.coinbase.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/19355407-ba64-4d1d-9685-a74fcbe3a19d"},{"id":"343a94a6-ba30-4f9d-b2f5-fc64aba8efea","company_id":"6ce2d21e-b00f-4343-9bd0-5ac62ff81431","title":"Staff Software Engineer, DUE Experience","slug":"staff-software-engineer-due-experience-5a4d5be1","description":"Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.\n The Driver Understanding and Evaluation (DUE) team at Waymo is developing rich metrics for understanding the behavior of the Waymo Driver in the real world, and technologies such as  context and scene analysis to understand driving, understanding and augmenting real world driving data to generate rare driving events, build large scale data infrastructure, improve components such as agents and a realistic simulator. These technologies come together to drive the overall technical strategy and methodology used to evaluate the behavior of the Waymo Driver. \n You will: \n \n Lead the architectural design and hands-on development of advanced Agentic AI systems, focusing on multi-agent orchestration, tool execution, and complex reasoning loops for event triage.\n Engineer scalable agentic workflows using modern LLM orchestration frameworks to fully automate and augment triage capabilities for Engineering and SWQOps.\n Design and deploy stateful agentic infrastructure, including long-term memory management (RAG, vector databases), semantic routing, and custom internal tool integrations.\n Collaborate with cross-functional partner teams to embed autonomous agents directly into the Waymo Driver evaluation lifecycle.\n Mentor engineers within DUE Experience on agentic development patterns, and prompt engineering\n Tackle broad, ambiguous automation problems by breaking them down into actionable multi-agent projects and leading the technical execution of the roadmap.\n \n You have: \n \n Significant experience (typically 8+ years) in software engineering, with a focus on designing and building large-scale, complex distributed systems.\n Deep expertise in applied LLMs and Agentic AI development, with a proven track record of building multi-agent systems, reasoning engines, and autonomous workflows.\n Strong proficiency with agent orchestration frameworks and advanced prompt engineering.\n Proven ability to execute technical strategy, influence partner teams, and drive end-to-end development of AI-native applications in ambiguous domains.\n Excellent communication and collaboration skills, with the ability to align cross-functional stakeholders on agentic concepts and system limitations.\n Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.\n \n  \n We prefer: \n \n Master's or PhD in Computer Science or a related field, with a specialization in AI/ML or a related area.\n Experience developing custom tools/plugins for agents, semantic routers, and implementing complex multi-agent collaborative patterns.\n Familiarity with autonomous vehicle simulation, testing, or evaluation domains.\n Proficiency in C++ and Python, with experience building production-grade microservices and pipelines.\n Experience working with large-scale data processing, knowledge graphs, and distributed systems.\n Familiarity with Google's or Waymo's internal AI/ML platforms and infrastructure.\n \n  \n  \n The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.  \n Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.  \n Salary Range\n $251,000 — $310,000 USD","salary_min":251000,"salary_max":310000,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["embeddings","autonomous-vehicles","llm","distributed-systems","agents","microservices"],"apply_url":"https://careers.withwaymo.com/jobs?gh_jid=8012269","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-22T16:24:45Z","expires_at":"2026-08-15T14:05:14.763362Z","created_at":"2026-06-28T14:04:31.800929Z","updated_at":"2026-07-16T14:05:14.885951Z","company_name":"Waymo","company_slug":"waymo","company_logo_url":"https://www.google.com/s2/favicons?domain=waymo.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/343a94a6-ba30-4f9d-b2f5-fc64aba8efea"},{"id":"f3175a1b-9051-4eca-8a19-6a1f3b508dfd","company_id":"a25140f5-772d-4c47-947d-7c655ed80737","title":"Senior Software Engineer - Big Data/ML Ops","slug":"senior-software-engineer-unstructured-data-processing-758119be","description":"Senior Software Engineer - Big Data/ML Ops \n Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . \n This position is based out of our headquarters in the Greater Seattle area.  #LI-hybrid \n Who We Need   \n Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. \n This Opportunity   \n If you are seeking a sense of purpose in your software job and are motivated by solving computing problems that can have a direct impact on people’s lives, then Truveta may be the perfect fit for you.  \n We are looking for a Senior Software Engineer to participate in multi model data processing team. This role requires deep technical expertise in cloud-native infrastructure, distributed systems, as well as strong product thinking. You will partner closely with Compute Platform, security, ML engineering, and applied AI teams to understand business needs, define platform requirements, and build self-service capabilities that help teams move quickly and safely. Success in this role will directly influence how Truveta delivers data at scale using AI models and tools. \n Responsibilities: \n \n Leverage software engineering skills to build and deliver reliable, secure and scalable software solutions using modern cloud-based paradigms across different components in Truveta. \n Collaborate closely with partner teams inside \u0026 outside of Truveta. \n Show creativity and curiosity to build integration proof of concepts across the Truveta and partner ecosystems. \n Bring your curiosity, entrepreneurial spirit, and passion to deliver on the promise of technology in the difficult, competitive, and exciting industry of healthcare. \n \n We are seeking backend engineers who: \n \n Have proven experience building reliable, secure and scalable software solutions using modern cloud-based paradigms.  \n Have experience integrating with and building scalable microservices. \n Have familiarities with LLMs and generative models for various applications. \n Have prior experiences with Agentic AI platforms.  \n Utilize their expertise in deploying large-scale machine learning models in production environments. \n Are quick learners knowing how to iterate and evolve a distributed software solution while carefully balancing the needs of privacy, security and reliability against a changing product landscape. \n Have knowledge and experience in using and designing distributed systems, data pipelines, APIs and consumption experiences. \n Strictly adhere to Truveta principles in support of ethical innovation. \n Willingness to commit to ongoing training on key topics like privacy, ethics, and security. \n \n Key Qualifications:   \n \n 5+ years of experience building production quality software in a team setting.  \n 2+ years of experience working on modern cloud-native platforms and languages (AWS, GCP, Azure)  \n Some familiarity with crafting modular APIs and building engaging and intuitive web experiences. \n B.S. or M.S. in Computer Science or related field. \n \n Why Truveta? \n Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional, and everything in between. Join us as we build an amazing company together. \n We Offer: \n \n Interesting and meaningful work for every career stage \n Great benefits package \n Comprehensive benefits with strong medical, dental and vision insurance plans \n 401K plan \n Professional development \u0026 training opportunities for continuous learning \n Work/life autonomy via flexible work hours and flexible paid time off \n Generous parental leave \n Regular team activities (virtual and in-person) \n The base pay for this position is $155,000 to $190,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. \n \n If you are based in California, we encourage you to read this important information for California reside","salary_min":155000,"salary_max":190000,"location":"Seattle, WA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","distributed-systems","agents","llm","microservices","healthcare","mlops"],"apply_url":"https://job-boards.greenhouse.io/truveta/jobs/6092032004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-17T17:55:48Z","expires_at":"2026-08-15T14:16:08.769918Z","created_at":"2026-06-28T14:14:37.414632Z","updated_at":"2026-07-16T14:16:08.921649Z","company_name":"Truveta","company_slug":"truveta","company_logo_url":"https://www.google.com/s2/favicons?domain=truveta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f3175a1b-9051-4eca-8a19-6a1f3b508dfd"},{"id":"a136ee99-da74-40b1-a496-e141b429bda9","company_id":"75f38274-c5f0-417d-92f4-bd42624e749e","title":"Senior Software Engineer, Robotic Solutions Development","slug":"senior-software-engineer-robotic-solutions-development-d135df40","description":"Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core. \n Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics. \n Role\n As a Senior Robotics Software Engineer in our Product Development Team for Robotic Solutions you will work closely together with different stakeholders to develop production ready software for scalable robot applications based on our Intrinsic Platform. You will be part of the entire development journey, from scoping the right technical solution, analyzing dependencies and needs up to actual development and testing.  \n How your work moves the mission forward\n \n Synchronize with product management and platform development to take the right architecture decisions, which ensure long term maintainability and stability. \n Implement high quality software with state of the art tooling as part of an experienced team of developers.\n Be hands on in testing on real hardware and supporting customers where needed.\n Ensure a smooth transition of feature releases to the Customer Success Team, which will take care of most customer facing enablement and support. \n \n Skills you will need to be successful\n \n Master’s degree or equivalent practical background in Computer Science, Robotics, or a related technical field.\n Professional work experience with Python and optionally C++.\n Demonstrated capability in technical leadership, including setting technical direction and guiding development efforts towards successful outcomes.\n Excellent collaboration skills, with the ability to work effectively with internal cross-functional teams and external technical partners.\n \n Skills that will differentiate your candidacy\n \n Experience with Kubernetes, gRPC, Protobuf, Bazel, microservice architectures, and/or real-time systems.\n Professional experience with delivering industrial robotics and automation solutions.\n Familiarity writing code that leverages ROS (2), its major frameworks and Gazebo.\n Experience leading project teams to build robotic systems.\n Experience with simulation or CAD.\n \n The base salary for this full-time position is between $174,400 - $237,800 (USD ) + 15%  bonus + equity + benefits. Your recruiter will share more about the specific salary range for your targeted location during the hiring process. \n At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.\n If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.","salary_min":174400,"salary_max":237800,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["robotics","api-design","cloud","microservices"],"apply_url":"https://boards.greenhouse.io/intrinsicrobotics/jobs/6030909004?gh_jid=6030909004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-15T23:20:05Z","expires_at":"2026-08-15T14:08:00.097551Z","created_at":"2026-06-28T14:07:03.861337Z","updated_at":"2026-07-16T14:08:00.235756Z","company_name":"Intrinsic","company_slug":"intrinsic","company_logo_url":"https://www.google.com/s2/favicons?domain=intrinsic.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a136ee99-da74-40b1-a496-e141b429bda9"},{"id":"7aeba6ea-09a9-41e9-a849-b67f75b6e4bd","company_id":"308b7777-69e1-49db-ad79-3912d6c6e648","title":"Engineering Manager, AI","slug":"engineering-manager-ai-499822bb","description":"Our Mission \n Healthcare should work for patients, but it doesn’t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable. \n  \n Zocdoc’s mission is to give power to the patient. To do that, we’ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down.  \n  \n We’re 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on. \n  \n Your Impact to the Mission \n Zocdoc’s most important asset is our people. As an Engineering Manager for Zo, Zocdoc’s AI phone assistant, you will play a critical role in achieving Zocdoc’s strategy of being the front door for healthcare. Zo acts like a human and manages appointments like an expert, handling unlimited inbound scheduling calls. Zo vanquishes hold times and instantly schedules appointments 24/7 using natural, conversational language. As the leader for this team, you’ll be on the cutting edge of building an LLM-based product, using voice technologies, and integrating with EHR systems. You will work with a highly motivated and experienced engineering team while collaborating with cross-functional teams, including Product, Sales, Data, Ops, Design, and Product Marketing. Your leadership, technical skill, and strategic vision will directly contribute to the value we deliver to our clients and the overall improvement of the healthcare experience.\n  \n You’ll enjoy this role if you are… \n \n Inspired by the opportunity to positively impact the healthcare experience for millions of customers and providers.\n Entrepreneurial, having a strong technical background, an ownership mindset, and a penchant for product and business strategy\n Passionate about software engineering and product development and building scalable, technical solutions\n Willing and eager to learn, including hands on development, code and system design review to guide and set an example for your team\n A leader who enjoys inspiring, supporting, and influencing their teams to do their best work with a focus on accountability, velocity, and continuous improvement\n A strong collaborator with excellent communication skills who enjoys being the bridge between engineering, product, and internal stakeholders\n A believer that diverse and inclusive teams and cultures are non-negotiable\n \n Your day to day is… \n \n Leading, managing, and growing a team of software engineers to deliver highly reliable, performant software solutions\n Partnering with product, design, and commercial teams to build out a clear technical product strategy and roadmap\n Working across the organization on Engineering culture, helping to build career ladders, steer cross-team events, and help build an inclusive technology workforce\n Mentoring and coaching a team of engineers to maintain a high quality of work, while delivering new features with bleeding edge technology at high velocity\n Ensuring we are building out the platform’s capabilities with attention to security, scale, performance, and uptime\n Working with cutting edge voice AI tools and technology\n \n You’ll be successful in this role if you have… \n \n The mentality of an entrepreneur/owner and a strong bias to action\n Experience working on consumer facing AI products, bonus if voice AI products\n Shipped multiple product features to external customers, either as an IC or Manager\n A deep knowledge of software development methodologies\n A passion for understanding the use cases of your customers and a focus on collaboration\n Experience working with microservice architectures and AWS / cloud environment\n AWS, React / JS for frontend development, C# / Python for backend development\n The ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity\n Solid communication skills with the ability to influence key stakeholders and build consensus with engineers at all levels\n Humility. You believe in treating all people with dignity and respect, regardless of title or tenure, and you approach tough conversations with empathy\n \n Benefits: \n \n Flexible, hybrid work environment at our convenient Soho location\n Unlimited Vacation\n 100% pai","salary_min":210000,"salary_max":270000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["cloud","speech","healthcare","microservices","llm","generative-ai"],"apply_url":"https://job-boards.greenhouse.io/zocdoc/jobs/7994224","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-15T17:13:50Z","expires_at":"2026-08-15T14:19:55.147744Z","created_at":"2026-06-28T14:17:59.453483Z","updated_at":"2026-07-16T14:19:55.26953Z","company_name":"ZocDoc","company_slug":"zocdoc","company_logo_url":"https://www.google.com/s2/favicons?domain=zocdoc.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/7aeba6ea-09a9-41e9-a849-b67f75b6e4bd"},{"id":"f2dcab5e-6bb0-49c6-9cc2-435cd103e988","company_id":"26618e2f-35c7-42eb-8f60-bd25a7e9a0d2","title":"Senior Software Engineer - AI Platform Team","slug":"senior-software-engineer-ai-platform-team-0ab7579c","description":"Ready to do the most impactful work of your career? At  Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for \"good enough,\" you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”  learn more about working at Coinbase .\n As a Senior Software Engineer on the AI Platform team within the Platform group, you'll build and operate the LLM and agent infrastructure that every team at Coinbase depends on. This team owns the company's single path to large language models and the full agent lifecycle: build, deploy, run, observe, and improve. You'll lead multi-quarter technical initiatives across the platform, from gateway and runtime systems to knowledge bases and applied AI agents, directly shaping how Coinbase scales AI across the organization.\n What you'll do: \n \n Own the architecture and delivery of core platform systems including the LLM Gateway (60+ models, auth, PII redaction, fallbacks, cost optimization), AI Hub, and agent runtime with microVM sandboxes and governed MCP gateway\n Drive the design and implementation of Knowledge Base infrastructure, connecting data sources to auto-provisioned vector and markdown stores queryable by any agent\n Lead AI FinOps capabilities including spend attribution, governance, and cost optimization across all AI workloads company-wide\n Partner across engineering, security, legal, finance, product, and external partners at frontier labs and major cloud providers to ship high-impact platform capabilities\n Build evaluation and observability tooling including LLM-as-judge harnesses, full tracing, and feedback loops that let subject matter experts refine production agents\n Shape applied AI strategy by embedding with teams to build production agents, applying fine-tuning and traditional ML where it outperforms prompting\n \n Required Skills and Experience: \n \n 5+ years of software engineering experience with demonstrated expertise building ML/AI infrastructure, LLM systems, or distributed platform services at scale\n Demonstrated ability to lead multi-quarter initiatives end-to-end, from technical design through production operation, with measurable platform-wide impact\n Deep expertise in LLM orchestration patterns, agent frameworks, vector databases, and model serving infrastructure across multiple providers\n Proven track record of cross-functional partnership with security, legal, and product teams to ship governed, production-grade AI systems\n Fluency in Python and at least one systems language (Go, Rust, or C++), with production experience building APIs, microservices, and runtime environments\n Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.\n \n Public Blog Posts: \n \n NodeSmith: AI-Driven Automation for Blockchain Node Upgrades \n Making Smarter Decisions, Faster with AI at Coinbase \n CB-GPT - The opportunity and the vision for GenAI at Coinbase \n Lessons from launching Enterprise-grade GenAI solutions at Coinbase \n AWS re:Invent 2025 - Scaling support, compliance, \u0026 productivity with conversational AI at Coinbase \n Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). \n  \n Annual base salary range (excluding equity and bonus):\n $186,065 — $218,900 USD \n \n Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.\n Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. \n US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. \n Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . \n Data Privacy \u0026 Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .","salary_min":186065,"salary_max":218900,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["llm","embeddings","agents","generative-ai","cloud","fine-tuning","mlops","microservices"],"apply_url":"https://www.coinbase.com/careers/positions/7997420?gh_jid=7997420","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-10T19:30:20Z","expires_at":"2026-08-15T14:09:50.239185Z","created_at":"2026-06-28T14:08:51.868011Z","updated_at":"2026-07-16T14:09:50.35235Z","company_name":"Coinbase","company_slug":"coinbase","company_logo_url":"https://www.google.com/s2/favicons?domain=www.coinbase.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f2dcab5e-6bb0-49c6-9cc2-435cd103e988"},{"id":"f06ba530-503d-47ef-90d1-537272841a10","company_id":"cf6855a4-6591-475f-be10-f3f36cf31758","title":"Machine Learning Engineer III, Search Relevance","slug":"machine-learning-engineer-iii-search-relevance-5157ca47","description":"WHAT IS BOX?  \n Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.\n By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.\n The Search Relevance team at Box powers discovery across billions of files, enabling customers to find the right content quickly, securely, and intelligently. As we expand into a new era of AI-powered content understanding, we’re investing in the foundation that makes great search possible: reliable systems, strong signals, and models that learn from real-world usage.\n This is a rare opportunity to work at the intersection of information retrieval science , applied machine learning , and large-scale distributed systems . You’ll be building the infrastructure that powers intelligent content discovery for Fortune 500 companies—where milliseconds matter, relevance is measurable, and your experiments directly impact how millions of users work.\n We’re looking for a Machine Learning Engineer III to improve search quality end-to-end—signals, ranking, retrieval, and evaluation—while building scalable, low-latency services that serve queries in real time. You’ll collaborate with senior engineers, Product, Data, and Infra partners to productionize modern retrieval techniques and experimentation frameworks that directly impact how millions of users work.\n WHAT YOU’LL DO\n \n Design, build, and iterate on components for ranking, retrieval, and recommendations that improve measurable relevance and latency.\n Implement production features leveraging embeddings, semantic/hybrid search, and LLM-enabled retrieval under mentorship and design guidance.\n Contribute to offline/online evaluation, A/B tests, and relevance tuning using metrics such as NDCG, MRR, and precision@k.\n Develop reliable, observable microservices and near real-time indexing pipelines across distributed systems.\n Own well-scoped projects from design to rollout, writing clear design docs, tests, and operational runbooks.\n Improve data and feature pipelines (batch/streaming) to ensure quality, freshness, and end-to-end performance.\n Document patterns and contribute to team best practices that raise the bar on code quality and reliability.\n Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise.\n \n WHO YOU ARE\n \n 3+ years of industry experience building backend or distributed systems, with production ownership of services or data pipelines.\n Proficient in at least one of: Java, Scala, C++, or Python; comfortable writing production-grade Python is a plus.\n Exposure to search, ranking, recommendations, or applied ML in production; understand the basics of training-to-serving workflows.\n Experience with data pipelines, message queues, or streaming systems (e.g., Kafka, Pub/Sub) and near real-time processing.\n Familiarity with cloud-native microservices, CI/CD, observability, and performance tuning.\n BS in Computer Science or related field, or equivalent practical experience.\n Pragmatic, metrics-driven mindset—eager to experiment, measure impact, and iterate quickly in collaboration with partners.\n \n Preferred\n \n Experience with Elasticsearch, Solr, Lucene, or custom search systems; understanding of inverted indexes and scoring functions.\n Knowledge of relevance tuning, learning-to-rank concepts, and offline/online experimentation practices.\n Exposure to vector search, dense/sparse embeddings, and hybrid retrieval architectures.\n Familiarity with IR fundamentals (BM25, TF-IDF, multi-stage retrieval) and query understanding.\n Experience with Kubernetes/Terraform and a major cloud (GCP/AWS/Azure).\n Practical exposure to PyTorch or TensorFlow; LLM familiarity helpful but not required.\n \n Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your","salary_min":175500,"salary_max":219500,"location":"Redwood City, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["search","llm","distributed-systems","pytorch","data-pipeline","microservices","tensorflow","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/boxinc/jobs/7926448","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-08T15:45:47Z","expires_at":"2026-08-15T14:21:08.247668Z","created_at":"2026-06-28T14:19:12.934127Z","updated_at":"2026-07-16T14:21:08.369931Z","company_name":"Box","company_slug":"box","company_logo_url":"https://www.google.com/s2/favicons?domain=box.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f06ba530-503d-47ef-90d1-537272841a10"},{"id":"4c26e8f4-21cf-48d5-a3b1-5abd49eec1b1","company_id":"2ca4efa5-edc2-4352-a597-ea27086e1e5b","title":"Senior Software Engineer, AI Productivity","slug":"senior-software-engineer-ai-productivity-21037bea","description":"We're transforming the grocery industry \n At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. \n Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.\n Instacart is a Flex First team \n There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. \n Overview \n Instacart’s AI Productivity team builds AI-powered platforms and tools that help our engineers and operators move faster, reduce toil, and deliver higher-quality experiences for customers, shoppers, retailers, and brand partners.\n As a Senior Software Engineer on this team, you will design, build, and operate production systems that bring large language models and intelligent automation into everyday workflows across Instacart. You’ll partner closely with product, developer platform, ML platform, security, and data teams to ship reliable, secure, and measurable solutions that improve developer velocity and operational efficiency.\n You’ll join a collaborative group of approximately 10 engineers who value ownership, iteration, and pragmatic problem solving. If you enjoy rolling up your sleeves, navigating ambiguity, and turning cutting-edge AI into real, scalable products, this role is for you. This position is remote-friendly across Canada.\n About the Job \n \n Design, build, and operate AI-powered services and internal applications—such as code and test assistants, knowledge search, and intelligent chat workflows—that improve developer and operator productivity at scale.\n Implement robust back-end services in languages such as Python, Go, or Java; integrate foundation models via APIs and open-source frameworks; and apply techniques like retrieval-augmented generation and vector search where appropriate.\n Own projects end-to-end, including requirements, technical design, implementation, testing, deployment, observability, on-call participation, and iterative improvements focused on reliability, latency, and cost efficiency.\n Partner with Developer Platform, ML Platform, Security, and Legal to ensure safe and compliant AI usage, including data governance, guardrails, content/prompt safety, and privacy-by-design.\n Define and track success with clear metrics (e.g., adoption, task completion time, DORA/SPACE signals, satisfaction), and run experiments and A/B tests to validate impact and guide iteration.\n Create and maintain shared tooling, libraries, and documentation that raise the bar for applied AI development across Instacart, and mentor teammates on best practices in this fast-paced, evolving space.\n \n About You \n Minimum Qualifications\n \n 5+ years of professional software engineering experience building and operating production services.\n 3+ years of hands-on experience in at least one of: Python, Go, or Java.\n 2+ years of experience integrating ML or LLM capabilities into applications (e.g., via OpenAI, Anthropic, or open-source frameworks such as LangChain or LlamaIndex) and shipping them to production.\n Practical experience with cloud platforms (AWS or GCP), containers (Docker), and orchestration (Kubernetes).\n Proficiency with SQL and data modeling; experience building or maintaining data pipelines (e.g., Airflow, Dagster, or similar).\n Experience owning services end-to-end, including CI/CD, automated testing, observability (logging, metrics, tracing), and participation in an on-call rotation.\n Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.\n \n Preferred Qualifications\n \n Experience adapting or fine-tuning foundation models and implementing retrieval-augmented generation with vector databases (e.g., Pinecone, Weaviate, FAISS, or Elasticsearch with vector search).\n Track record of building internal developer tools or platforms adopted by 100+ engineers.\n Experience measuring developer productivity (e.g., DORA/SPACE), instrumenting product analytics, and running A/B or multivariate experiments.\n Knowledge of AI safety, privacy, and compliance practices (e.g., PII redaction, guardrails, model/content moderation, data residency considerations).\n Experience with event-driven systems and microservices (e.g","salary_min":168000,"salary_max":177500,"location":"Remote (Canada)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","cloud","data-pipeline","rag","generative-ai","microservices","alignment","agents"],"apply_url":"https://instacart.careers/job/?gh_jid=7974573","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-01T19:19:23Z","expires_at":"2026-08-15T14:09:41.178919Z","created_at":"2026-06-28T14:08:40.908671Z","updated_at":"2026-07-16T14:09:41.301346Z","company_name":"Instacart","company_slug":"instacart","company_logo_url":"https://www.google.com/s2/favicons?domain=www.instacart.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4c26e8f4-21cf-48d5-a3b1-5abd49eec1b1"},{"id":"954f2d20-86bc-4c0a-b847-f63a829a6248","company_id":"46e2df02-755e-46ce-a584-3f5881f34183","title":"Lead Forward Deployed Fullstack Engineer","slug":"fullstack-forward-deployed-engineer-eda884b7","description":"About Turing \n Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. \n Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at  www.turing.com \n We are seeking an experienced Full-Stack Engineer who brings deep Java and React expertise, a polyglot mindset, and the ability to extend existing systems with AI and agentic capabilities. The ideal candidate is a strong, fungible engineer — someone equally at home in a complex legacy Java application and a React client portal, who can also add meaningful AI/LLM functionality on top of real-world business workflows.\n This is not a role for pure AI/ML specialists or narrow LLM researchers. We need a utility player: an excellent full-stack engineer who has built or integrated agentic components and is motivated to do more of it over time.\n Beyond individual contribution, this person will play a pivotal role in mentoring junior developers, driving architectural decisions, and elevating engineering standards across the team.\n Must-Have Technologies: Java 17+, ReactJS, Microservices, AWS/Azure, RDBMS, NoSQL\n Core Technical Skills \n Full-Stack Engineering (Primary) \n \n 10+ years of hands-on software development, with deep expertise in modern Java full-stack development.\n Strong command of Java frameworks including Spring, Spring Boot, and Hibernate.\n Proven experience building single-page web applications using ReactJS, Bootstrap, and Node.js.\n Solid understanding of front-end architecture principles and data-driven UI development.\n Hands-on experience designing, developing, and deploying cloud-based architectures on AWS or Azure — not inherited pipelines, genuine architecture ownership.\n Expertise developing applications backed by both relational (SQL Server/PostgreSQL) and NoSQL (MongoDB/Elasticsearch) databases.\n Strong SQL development skills including query optimization and performance tuning.\n Working knowledge of modern security frameworks and standards: OAuth 2.0, OpenID Connect, and JWT.\n Proficient in designing and building RESTful APIs following industry best practices.\n Experience with modern testing frameworks (Jest, Mocha, Chai) and a commitment to test-driven development.\n Demonstrated ability to write clean, efficient, maintainable code across a diverse stack.\n Excellent problem-solving and troubleshooting skills for diagnosing complex technical issues.\n \n Polyglot Engineering \n \n Comfortable working across multiple languages and tech stacks — not single-stack only.\n Solid hands-on experience developing production applications, automation tooling, or backend services in Python.\n \n AI / Agentic Integration (Secondary, But Important) \n We are not looking for candidates who only exist in Python or whose entire background is LLM/model training. We are looking for full-stack engineers who have demonstrably built systems with AI components — or who have the depth and drive to take that on.\n \n Practical experience integrating LLMs into applications via APIs (e.g., OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock).\n Ability to add AI capabilities on top of existing enterprise systems — examples include invoice OCR with LLM-based data extraction, validation against contracts, and payment logic.\n Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.\n Understanding of responsible AI practices: data privacy, hallucination mitigation, evaluation, and guardrails.\n Willingness and ability to grow into deeper agentic/LLM work over time.\n \n Leadership \u0026 Soft Skills \n \n Proven ability to lead, mentor, and grow engineering teams — with genuine ownership of that role, not circumstantial seniority.\n Experience driving architectural decisions and setting technical direction across cross-functional teams.\n Strong stakeholder management: able to translate business requirements into scalable technical solutions.\n Track record of leading end-to-end delivery of complex projects from design through deployment.\n Effective communicator with both technical and non-technical audiences.\n Skilled at conducting code reviews, establishing best practices, and raising the bar for code quality.\n Experience coaching junior engineers, contributing to hiring, and managing technical debt alongside delivery pressures.\n Ownership mindset — takes accou","salary_min":220000,"salary_max":250000,"location":"Dallas, TX","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["search","microservices","llm","cloud","rag","embeddings","agents","payments"],"apply_url":"https://job-boards.greenhouse.io/turing/jobs/6007383004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-28T13:45:21Z","expires_at":"2026-08-15T14:05:17.175651Z","created_at":"2026-05-28T14:05:35.509372Z","updated_at":"2026-07-16T14:05:17.299123Z","company_name":"Turing","company_slug":"turing","company_logo_url":"https://www.google.com/s2/favicons?domain=turing.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/954f2d20-86bc-4c0a-b847-f63a829a6248"},{"id":"e2f424cd-b174-4b49-99cd-822493faf193","company_id":"861968d1-d9f8-4217-9873-ce4b24851abc","title":"Software Engineer III, Voice AI","slug":"software-engineer-iii-voice-ai-8ddbaf75","description":"Position Summary \n  \n Are you ready to make a real impact on people's lives and be part of a rapidly-growing team? Natera is seeking a Software Engineer III to help design, develop, and maintain our Voice AI platform. This platform handles thousands of patient calls daily, providing automated test status, identity verification, billing support, and intelligent routing — directly improving patient access to their genetic testing results. Join us in our mission to change the way disease is managed, and be a part of a dedicated group of professionals who are passionate about making a difference. \n  \n The Software Engineer III – Voice AI is responsible for building and maintaining the real-time conversational AI systems that power Natera's automated patient call center. This role requires strong expertise in TypeScript and Node.js, hands-on experience with voice AI pipelines (STT, LLM orchestration, TTS), and familiarity with telephony systems, agentic architectures, and event-driven design. You should be comfortable working with real-time audio streaming, WebSocket protocols, and the unique latency and UX challenges of voice-based AI. You'll collaborate with cross-functional teams in a fast-paced environment to ship features that measurably improve call efficacy and patient satisfaction. \n  \n Primary Responsibilities \n Lead \n \n \n Take ownership of assigned voice AI features and components, guiding them through the full software development lifecycle. \n \n Contribute to design discussions, code reviews, and best practice adoption within the Voice AI team. \n \n Drive technical decisions on voice pipeline optimization — VAD tuning, turn-taking, interruption handling, and latency management. \n \n Manage \n \n \n Plan and prioritize tasks in an Agile environment, ensuring timely and high-quality delivery. \n \n Work with Product Managers and stakeholders to refine requirements and scope technical efforts for conversational AI features. \n \n Monitor voice platform health metrics (call efficacy, ASR accuracy, per-segment latency) and prioritize improvements based on data. \n \n Nurture \n \n \n Mentor junior team members, sharing knowledge and best practices in voice AI architecture, TypeScript, and real-time systems. \n \n Encourage a culture of continuous learning and technical excellence through pair programming and design reviews. \n \n Document voice AI patterns, integration contracts, and operational runbooks for the team. \n \n Collaborate \n \n \n Partner with Product Managers, QA, and clinical operations to gather requirements, validate conversational designs, and guide projects from inception to deployment. \n \n Coordinate with other engineering teams to integrate voice agents with internal services via authenticated APIs. \n \n Work with the analytics team to ensure voice metrics flow correctly through the data pipeline for reporting and optimization. \n \n Effect Change \n \n \n Drive improvements in our multi-agent orchestration approach — tool calling patterns, agent handoff logic, and state management across conversation turns. \n \n Advocate for high-quality standards and automated testing strategies for conversational AI systems, including voice-specific test patterns (simulated calls, transcript validation, latency benchmarks). \n \n Identify and resolve voice-specific UX issues: ASR errors on medical terminology, silence detection tuning, barge-in recovery, and end-to-end response latency. \n \n  \n Qualifications \n \n \n 5+ years of overall software development experience, focusing on scalable backend services using Node.js and TypeScript. \n \n 1+ years of experience with voice AI, conversational AI, or real-time audio systems in production. \n \n Hands-on experience with agentic LLM architectures — tool calling, multi-agent orchestration, prompt engineering, and conversation state management. \n \n Familiarity with voice AI pipeline components: STT (Deepgram, Azure Speech, OpenAI Whisper), TTS (ElevenLabs, OpenAI, Cartesia), and LLM APIs (OpenAI Realtime API, Anthropic Claude). \n \n Experience with telephony systems — Twilio (media streams, SIP, IVR) or equivalent WebSocket-based audio streaming platforms. \n \n Understanding of voice-specific challenges: VAD configuration, turn-taking, interruption handling, latency budgets, and audio codec management (mulaw/PCM). \n \n Solid understanding of the software development lifecycle (SDLC), including build, configuration, release, and deployment. \n \n Knowledge of microservice architecture and distributed systems best practices. \n \n Proficiency with AWS services (ECS Fargate, Lambda, DynamoDB, S3, Kafka/MSK, API Gateway). \n \n Experience with event-driven architecture and message processing (e.g., Apache Kafka, SQS). \n \n Strong relational database skills (MySQL) and exposure to NoSQL databases (DynamoDB, Redis). \n \n Demonstrated teamwork skills and a collaborative mindset. \n \n Excellent communication and organizational skills. \n \n Experience with RAG architectures (AWS Bedrock, vector s","salary_min":105700,"salary_max":132100,"location":"Remote 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