{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. 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Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.\n\nWe research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.\n\nDistyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. \n\n\n\n\nWHAT WE ARE LOOKING FOR\n\nWe're hiring a Infrastructure Engineer to own how Distyl engineers build, test, secure, and release software. Our independently versioned services span multiple repositories and deploy into customer environments across AWS, Azure, and GCP, with different security, connectivity, and upgrade constraints.\n\n\n\nThis is a hands-on role with scope matched to your experience, from owning complex delivery systems to setting technical direction across teams. You'll build shared delivery systems and coding-agent workflows that make releases reliable, failures actionable, and engineers more productive. Your systems will shape how every Distyl engineer ships.\n\n\n\n\nKEY RESPONSIBILITIES\n\n - Technical ownership. Set direction and priorities for build, test, release, and coding-agent infrastructure. Choose tools and standards with engineering partners, and own implementation, adoption, and operation across teams\n\n - Build systems and repository standards. Standardize repository conventions and reusable build/test workflows. Make builds reproducible and efficient through explicit dependencies, consistent tooling, and effective caching\n\n - Release engineering. Build once and promote versioned bundles of immutable artifacts through release stages, with source traceability and test and security gates. Partner with Platform, Runtime, and Customer Delivery on integration and compatibility testing, configuration and schema changes, and recovery. Support customer-registry distribution and offline packaging where required\n\n - Agent-enabled engineering. Equip engineers with reusable coding-agent tools to diagnose failures, propose fixes, and handle routine work. Include tests, scoped permissions, failure handling, and independent output validation; measure quality and time saved\n\n - Software supply-chain security. Implement artifact signing and provenance, software bills of materials (SBOMs), isolated build runners, scoped CI credentials, and vulnerability gates. Integrate dependency and container remediation into engineering workflows\n\n - Developer experience. Understand engineers' workflows and remove friction with self-service tools, documentation, and diagnostics that distinguish code failures from tooling issues. Use developer feedback to guide incremental migrations, earn adoption, and reduce manual work\n\n - Engineering productivity and alerting. Track build/test latency, pipeline reliability, flaky-test rates, release lead time, and tooling adoption. Use these signals and developer feedback to reduce flaky tests and bottlenecks. Set service-level objectives and route actionable alerts to owners\n   \n   \n\n\nWHO YOU ARE\n\n - 10+ years of experience in software engineering, developer productivity, SRE, or related infrastructure engineering roles\n\n - Experience enabling engineers to use coding agents through reusable tools, workflows, and guidance, with independent validation and scoped access\n\n - Experience owning production build, test, and release infrastructure across services and teams, including versioned release bundles and compatibility testing\n\n - Hands-on experience with build systems, dependency management, reproducibility, performance diagnosis, and caching\n\n - Strong Python skills for building and debugging backend services and maintainable automation. Comfortable navigating unfamiliar code, including JavaScript frontends\n\n - Strong Linux fundamentals and experience building and maintaining secure container images. Working knowledge of Kubernetes, GitOps, infrastructure as code, and cloud deployment\n\n - Hands-on experience implementing software supply-chain controls. Demonstrated security judgment across permissions, credentials, dependencies, artifacts, and remediation\n\n - Experience building developer platforms, automated remediation, or reusable agent tooling adopted by other engineers\n\n - A record of improving build/test performance, release reliability, and tooling adoption using metrics and developer feedback\n\n - Experience","salary_min":200000,"salary_max":250000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["microservices","agents","healthcare","infrastructure"],"apply_url":"https://jobs.ashbyhq.com/distyl/6b13df85-e705-4a69-9340-0e83c54e78c5/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-13T23:19:53.802Z","expires_at":"2026-11-13T17:03:04.859555Z","created_at":"2026-10-14T15:25:08.324287Z","updated_at":"2026-10-14T17:03:04.863136Z","company_name":"Distyl AI","company_slug":"distyl-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=distyl.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ebabc8b3-5891-442b-a4d0-7a3ac1388c2d"},{"id":"3fe52aee-b25e-4fe7-bb7c-574f48250345","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Staff Software Architect, Intelligence Systems ","slug":"staff-software-architect-intelligence-systems-715023cb","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n Anduril Intelligence Systems (AIS) is focused on positioning Anduril as a lead provider of specialized engineering and next generation national security products for Intelligence Community (IC) customers. We work within the IC to understand their requirements, shape their concepts of operation, and deliver exquisite capability across their problem set. We aim to develop and deploy critically needed capabilities that address our customers’ most pressing national security requirements.\n ABOUT THE JOB\n We are looking for a Software Architect to join our rapidly growing team in Reston, VA. In this role, you will be responsible for defining the architectural direction of large-scale, real-time, mission-critical software. 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 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 problems, enjoys troubleshooting real-world systems, 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 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, embedded bare-metal systems in Rust at production scale\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 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 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 Proven experience architecting large-scale, production-grade codebases in real-time or high-performance environments\n Experience with modern IPC frameworks and fundamentals\n Experience architecting and designing REST APIs for public consumption to articulate complex real-time systems\n Experience with CI/CD, unit testing, git version control, and microservices\n Currently possesses and is able to maintain an active U.S. Secret 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 embedded bare-metal systems\n Expert-level proficiency in modern Rust, including asynchronous and multithreaded programming (e.g., Tokio for Rust)\n Experience with FPGA\n Deep knowledge of networking protocols and systems\n Expertise or experience in cryptographic algorithms and the fundamentals of both symmetric and asymmetric cryptography\n Prior DoD program experience (Army, Air Force, MDA, SCO, Navy)\n Experience with GPU / CUDA kernel development\n \n  \n  \n US Salary Range\n $220,000 — $292,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considera","salary_min":220000,"salary_max":292000,"location":"Reston, VA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","computer-vision","payments","gpu","llm","microservices","api-design"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5261353007?gh_jid=5261353007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-13T17:16:39Z","expires_at":"2026-11-13T16:57:16.705084Z","created_at":"2026-10-14T15:21:01.965044Z","updated_at":"2026-10-14T16:57:16.707891Z","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/3fe52aee-b25e-4fe7-bb7c-574f48250345"},{"id":"30f0bfd5-b030-48f6-9124-0c1234f28ba7","company_id":"31ae48bc-c938-4c26-a348-0bf3c089a446","title":"Staff Product Manager, AI Inference","slug":"staff-product-manager-ai-inference-85275e80","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 Team \n As the Staff Product Manager - AI Inference, you will lead CoreWeave's strategic efforts in shaping and developing cutting-edge AI inference services that drive innovation and business outcomes for our customers. You will collaborate closely with engineers, designers, and industry partners to create world-class products that empower organizations to build, deploy, scale, and optimize AI models and applications efficiently and effectively.\n The ideal candidate is passionate about AI and cloud technologies, with a deep understanding of the foundation model architectures, AI inference landscape, AI application ecosystem, cloud-native technologies, and the competitive landscape. You will leverage market insights and technical expertise to define the product vision, roadmap, and go-to-market strategy, ensuring that CoreWeave builds on its market-segment position as the leading AI Hyperscaler.\n Key Responsibilities: \n \n Product Vision and Strategy: Help refine the product strategy for AI application cloud services aimed at foundational model Inference, along with focus on optimization across the entire CoreWeave product portfolio for AI workloads. Solve novel problems related to scaling AI model inference on specialized hardware.\n Roadmap Development: Own the product roadmap for AI inference services, balancing near-term customer needs with long-term vision, to deliver differentiated and scalable AI cloud services.\n AI and Cloud Expertise: Stay current on advancements in AI/ML technologies including inference engines, model serving architectures, cloud infrastructures, and software development methodologies to inform product decisions and foster innovation.\n Define product portfolio: Manage ambiguity and complexity of a fast evolving AI landscape to define new product investments and develop a portfolio of inference capabilities that deliver long-term differentiation and customer value.\n Customer Engagement: Collaborate with key customers to understand their AI workloads, pain points, and future requirements to continuously improve our service offerings.\n Cross-functional Leadership: Collaborate with engineering, sales, marketing, and customer success teams to ensure seamless product development and deployment.\n Market Analysis: Analyze market trends, customer feedback, and the competitive landscape to identify growth opportunities and ensure CoreWeave stays ahead of industry trends.\n Go-to-Market Strategy: Partner with industry partners, marketing, and sales teams to develop and execute effective go-to-market strategies for AI cloud services, including pricing strategies, positioning, messaging, and competitive differentiation.\n \n Qualifications: \n \n Experience: 8+ years of experience in product management, with at least 5 years in the cloud services or AI/ML market segment.\n Technical Knowledge: Hands on practitioner and deep understanding of AI/ML workloads including foundation model inference, inference engines such as vllm, SGLang, TensorRT-llm, and llm-d, inference optimization techniques such as quantization and speculative decoding, cloud infrastructure (GPUs), and cloud-native architectures (Kubernetes, microservices).\n Leadership: Proven ability to lead cross functional teams, with strong decision-making, project management, and mentoring skills.\n Customer-Centric Approach: Demonstrated experience working closely with customers to identify needs and translate them into product features and solutions.\n Communication Skills: Excellent verbal and written communication skills with the ability to influence cross-functional teams and stakeholders.\n Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. MBA or equivalent experience is a plus.\n Visionary Leadership: Ability to think strategically while being able to dive into technical details to guide the product team.\n Results-Oriented: Proven track record of driving business growth through innovative product solutions in the AI and cloud space.\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","salary_min":207000,"salary_max":275000,"location":"Sunnyvale, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["microservices","mlops","cloud","generative-ai","llm","inference"],"apply_url":"https://coreweave.com/careers/job?4720733006\u0026board=coreweave\u0026gh_jid=4720733006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-12T14:43:58Z","expires_at":"2026-11-13T16:56:02.427193Z","created_at":"2026-10-14T15:20:12.017713Z","updated_at":"2026-10-14T16:56:02.430397Z","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/30f0bfd5-b030-48f6-9124-0c1234f28ba7"},{"id":"3b73d4e3-8873-4465-bf7b-ec795560a17b","company_id":"7455e78c-482b-4f7b-9d62-11b78645818a","title":"Software Engineer 2 - Development Infrastructure ","slug":"software-engineer-2-development-infrastructure-3dfd6ec0","description":"About the Role\n Abnormal AI empowers businesses of all sizes to combat cybercrime through our innovative cloud products. To achieve our mission, we're building a suite of interconnected security solutions on a unified platform, designed to operate flawlessly in global data centers.\n The Development Infrastructure team plays a critical role in multiplying the impact of our product teams. We create an environment that fosters high-quality software development, and engineering excellence. This team has become instrumental in the success of our engineering organization.\n You are someone who:\n \n Thrives in a collaborative, fast-paced environment\n Possesses a passion for helping others build world-class systems\n Demonstrates exceptional teamwork skills\n Embraces continuous learning and enjoys tackling complex problems\n \n What you will do \n \n Lead the design and delivery of complex, multi-component features and systems of the Development Infrastructure team's offerings, and shape the roadmap for this area.\n Develop and maintain CI/CD infrastructure and tools for Engineering to develop and ship their changes reliably with less effort.\n Design and implement enhancements to GHA infrastructure, base Docker images and build/deploy pipelines with improvements in scalability, performance and costs.\n Use AI tools to explore and compare solutions, and adapt the generated changes to real production constraints, weighing system complexity and long-term maintainability.\n Take ownership of on-call issues, including complex issues where the root cause is unclear, and fix the systemic gaps behind them.\n Participate in planning, code reviews, standups, and other aspects of the software development life cycle, and coach other engineers on the team.\n \n Must Haves\n \n 3+ years of professional experience as a hands-on engineer building backend systems and/or platforms.\n 2+ years of experience working with Python.\n Experience delivering complex projects end-to-end in a cloud native environment.\n Experience building or operating CI/CD, build, or deployment systems in production, including on-call and incident response.\n Understanding of distributed systems, containerization and microservices.\n Practical experience using Generative AI tools in day-to-day engineering workflows.\n \n Nice to Haves\n \n Experience creating and maintaining CI/CD systems.\n Experience with GitHub Actions.\n Experience with Go.\n Experience with Bazel.\n Experience working on or with teams like “Engineering Effectiveness”, “Engineering Productivity”, “Development Experience”, “Development Infrastructure” or similar.\n Knowledge of Docker, Kubernetes, or similar technologies.\n Familiarity with Generative AI tools such as Codex and Claude, and experience driving AI-first workflows and solutions.\n \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 A note on AI in our 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 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. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.\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":["generative-ai","microservices","distributed-systems","infrastructure"],"apply_url":"https://abnormal.ai/careers/jobs/8015189003?gh_jid=8015189003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-09T23:40:56Z","expires_at":"2026-11-13T16:55:40.593701Z","created_at":"2026-10-14T15:19:46.257997Z","updated_at":"2026-10-14T16:55:40.597796Z","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/3b73d4e3-8873-4465-bf7b-ec795560a17b"},{"id":"e3b36aa7-e702-4b5e-a49d-acc4849e712e","company_id":"a25140f5-772d-4c47-947d-7c655ed80737","title":"Principal Software Engineer - Clinical Analytics","slug":"principal-software-engineer-clinical-analytics-ba95b08a","description":"Principal Software Engineer - Clinical Analytics \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 building a diverse and inclusive team to tackle complex health and technical challenges. We are seeking enthusiastic new graduates who are problem-solvers, collaborative teammates, and eager to make a difference in healthcare. If you’re excited about purposeful work, joining a mission-driven team, and launching your career in a supportive environment, Truveta could be the perfect place to start.   \n This Opportunity   \n At Truveta, you'll help define how health systems use data to improve the quality of care. You'll work at the intersection of cloud services, analytical data platforms, and user experiences, setting the technical direction for technology that lets clinical and quality teams define, monitor, and act on the metrics that matter most.   \n Health systems deserve modern, intuitive tools for measuring care quality, yet getting answers from large-scale clinical data still often takes specialized skills and long turnaround times. At Truveta, we are building a next-generation analytics platform that lets health systems securely explore their data, track performance over time, and drive measurable improvements in patient outcomes.   \n We are seeking a Principal Engineer to lead the architecture and technical strategy of Truveta's clinical analytics platform. You will be both a hands-on builder and a force multiplier: designing the systems that power low-latency analytics and self-serve dashboarding, writing critical code, raising the engineering bar, and mentoring engineers across the organization.   \n You will partner with Product, Design, Data, and Engineering leadership to translate the needs of health systems into a durable platform vision, then guide teams in delivering it. This role offers the opportunity to shape a foundational product area, tackle ambiguous and technically demanding problems, and make a meaningful impact on our mission of saving lives with data.   \n Work Areas:   \n \n Define the end-to-end architecture for clinical analytics: analytical data serving, metric definition and computation, and self-serve dashboarding and visualization for health systems.   \n Make foundational design decisions on OLAP and analytical storage, data modeling, query performance, caching, and scalability for population-level health data.   \n Design secure multi-tenant systems with strong data isolation, fine-grained access control, and auditability appropriate for sensitive health data.   \n Determine how health systems define, customize, and share their own metrics and dashboards, balancing flexibility with governance, performance, and cost.   \n Build and prototype critical components, set technical standards, and lead design and code reviews across teams.   \n Mentor and grow engineers, and partner with other engineering leaders to align roadmaps and reduce technical risk across the broader Truveta data platform.   \n Establish engineering practices for reliability, observability, and operational excellence in production analytics services.   \n \n Key Qualifications   \n \n BS/MS degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.   \n 12+ years of experience designing, building, and operating large-scale software systems, with a track record of technical leadership on complex, multi-team initiatives.   \n Deep experience with data, OLAP, or analytics technologies, including analytical databases, BI and dashboarding platforms, and data modeling for high-performance reporting workloads.   \n Strong backend engineering expertise in .NET (C#), Python, or a similar language, including REST APIs, microservices, distributed systems, and cloud-native architectures on platforms such as Azure.   \n Demonstrated ability to make and communicate sound architectural tradeoffs, and to drive alignment among engineering, product, and executive stakeholders.   \n Proven experience mentoring engineers and raising the technical capability of a team.   \n Strong communication skills, including the ability to write clear technical design documents and explain complex systems to diverse audiences.   \n \n Preferred Qualifications \n \n Experience building embedded analytics, self-serve BI, or data-driven products for technical or business users.   \n Experience with multi-tenant architectures, including row-level se","salary_min":222000,"salary_max":240000,"location":"Seattle, WA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["distributed-systems","microservices","healthcare","api-design","fine-tuning"],"apply_url":"https://job-boards.greenhouse.io/truveta/jobs/6217536004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-10-05T20:52:11Z","expires_at":"2026-11-13T17:00:07.76765Z","created_at":"2026-10-14T15:23:39.217806Z","updated_at":"2026-10-14T17:00:07.770943Z","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/e3b36aa7-e702-4b5e-a49d-acc4849e712e"},{"id":"58ceddcf-ed90-4558-9bdc-c1faab46fc2e","company_id":"6ea0f41a-b13e-481a-b410-5195f391f939","title":"Staff Software Engineer - AI Compute, Together Cloud","slug":"staff-software-engineer-ai-compute-together-cloud-60abdd08","description":"About the Role \n Together AI is building the AI Native Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art GPU cloud infrastructure. The Together Cloud team builds the [Together GPU Clusters](https://www.together.ai/gpu-clusters) flagship IaaS product that provides high-performance, AI-ready GPU clusters through a self-serve cloud console, along with the virtualized infrastructure layer powering Together's inference, RL, and fine-tuning products.\n As a Staff Software Engineer focusing on AI Compute in the Together Cloud org, you will set technical direction for and build major components of the next generation AI cloud platform – a highly available, global cloud infrastructure with cutting-edge virtualization of the latest ML hardware: GB300s/VRs, BlueField DPUs, InfiniBand and dual/quad-plane RoCEv2 fabrics. That virtualized computing platform powers our own SaaS products – inference, RL, and fine-tuning – and serves external cloud customers through self-serve offerings such as on-demand/reserved Kubernetes/Slurm clusters, across dozens of data centers and hundreds of thousands of GPUs.\n This is an architect-and-build role. Fully automated bootstrapping of GPU data centers, high-performance virtualization of GPU compute and DC networking without compromising isolation or portability, and fault-tolerant decentralized control planes — you'll set the architecture for these across our global and in-DC services, and be a key owner of the hardest parts, in the code as well as the design. Your designs will span the IaaS layer of a greenfield Vera Rubin data center up to the global management plane that schedules capacity across all of them. At this level the job is as much leverage as code: the standards you set and the engineers you grow decide how fast the rest of Together Cloud ships.\n Responsibilities \n \n Own the GPU and network virtualization stack: the hypervisor, kernel, and SDN work that keeps GPU compute and DC networking high-performance, portable, and strongly isolated across heterogeneous hardware.\n Own the in-DC IaaS layer: architect and roadmap the services, Kubernetes operators, and libraries that provision and manage compute, storage, and networks in our data centers — VMs, parallel filesystems, VPCs, and InfiniBand partitions; lead its build-out for a new Vera Rubin data center with thousands of GPUs, from hardware bring-up to customer-facing API.\n Design the GPU scheduling and global management plane: the distributed control plane behind on-demand and reserved clusters across dozens of data centers, including the systems that scale per-cluster limits and automate the onboarding of new capacity.\n Architect monitoring and automated remediation for fault tolerance: the strategy for automated detection, isolation, and recovery of failed nodes that keeps distributed pretraining and large-scale inference running through hardware failures.\n Set technical direction across teams: lead design reviews, resolve cross-cutting architectural disagreements, unblock cross-team dependencies and integration risks, and define the standards other engineers build against — measured in cluster reliability, time-to-first-GPU on new capacity, and quality at scale.\n Grow the team: mentor senior and junior engineers, deepen the team's expertise in virtualization, DC networking, and GPU infrastructure, and help raise the hiring bar for Together Cloud.\n Set the engineering bar: create the testing frameworks, tools, and developer documentation that make our systems robust and usable by other teams, and shape the core, open-source Together AI platform.\n \n To be successful you'll need to be deeply technical and an excellent communicator — expert software development fundamentals, deep systems knowledge and troubleshooting instincts, and the leadership and diplomacy skills to align teams that don't report to you. Much of this work starts ambiguous, and we expect you to define the scope yourself and drive it to production.\n Requirements \n \n 7+ years of professional software development experience, with expert-level proficiency in at least one backend language (Golang desired), writing high-performance, well-tested, production-quality code.\n Track record of owning the architecture of large distributed systems from blank page to production at scale, including the judgment calls that could not be reversed cheaply.\n Deep experience building and operating globally distributed, high-performance microservice architectures across one or more cloud providers (AWS, Azure, GCP).\n Expert systems knowledge across compute, networking, and storage — including concurrency, memory management, performant I/O, and scale at a global level.\n Demonstrated technical leadership beyond your own commits: mentoring senior engineers, leading design reviews, and driving alignment across teams that do not report to you.\n Excellent communication and diplomacy skil","salary_min":260000,"salary_max":300000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["gpu","fine-tuning","pre-training","distributed-systems","generative-ai","llm","microservices","cloud"],"apply_url":"https://job-boards.greenhouse.io/togetherai/jobs/5224090007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-23T22:48:12Z","expires_at":"2026-11-13T16:55:08.972984Z","created_at":"2026-10-14T15:18:58.57614Z","updated_at":"2026-10-14T16:55:08.975679Z","company_name":"Together AI","company_slug":"together-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=together.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/58ceddcf-ed90-4558-9bdc-c1faab46fc2e"},{"id":"17301eea-c185-43ac-aa88-f55af0b2265a","company_id":"1bb3dab4-a54d-456f-bfd6-ad41828ae177","title":"SDET II","slug":"sdet-ii-38f2be07","description":"The Future of Healthcare Needs You \n At Suki, we’re building technology that listens, understands, and gets out of the way — so clinicians can get back to being clinicians. Our flagship product, Suki Assistant, uses cutting-edge AI to automate clinical documentation in real time, reducing the time it takes to complete notes by 72%. But that’s just the beginning.\n We’re now powering the next wave of voice-enabled healthcare experiences across telehealth platforms, care delivery tools, and specialty EMRs — through Suki Platform, our proprietary AI infrastructure.\n Clinicians using Suki spend over 70% less time on admin. Our customers see a 9X ROI in year one. And we’re just getting started. Suki is reimagining the healthcare technology stack to make the lives of clinicians better. Our tech stack includes GCP, Kubernetes, Vertex AI, Golang, Python, C++, PyTorch, JAX, Transformers, GPT, LLAMA, MoE, gRPC, Javascript.    \n What will you do every day? \n As an SDET II at Suki you will own and drive the functionality, performance and stress test roadmap for Suki’s industry leading advanced AI/ML driven platform. You will develop automated tests, testing tools and processes. You will collaborate with product, design \u0026 engineering teams in an agile development environment. You will also work cross-functionally with related teams such as Product, Technical Operations, and Release Management.\n Responsibilities: \n \n Functionality, integration, performance and stress testing for web, mobile applications and backend systems.\n Investigating and researching test frameworks for modern AI/ML driven applications and platforms\n Improves the test automation experience at Suki by enhancing tools/scripts, test coverage, and/or code structure.\n Debugs and analyze the bugs in the application that can help developers arrive at the root cause and train Junior Engineers to follow the same\n Writes concise, comprehensive, detailed test plans for his/her team’s dev work.\n Should gain reasonable product knowledge and understand the technical architecture of his product\n Should be able to participate in product discussions \u0026 refine the acceptance criteria \n Takes responsibility for the entire lifecycle of their stories: development, test, production, and subsequent fixes and improvements\n Collaborates with other engineers, designers, and PMs to flesh out implementation details based on the established pattern in the team\n Proactive in figuring out the requirements at work \u0026 should be capable to work independently\n \n Qualifications* \n \n 5+ yrs of experience in automation testing, architecting and implementing QA processes\n Proficient with gQL, gRPC, REST API, microservices, GCP etc\n Proficient with one object oriented programming language, preferably Java\n Proficient with testing frameworks on API/Mobile/Web (Selenium, Cypress, Playwright, Appium, RestAssured, Jmeter/Gatlings)\n Strong analytical and communications skills\n Self starter with the ability to work independently in a dynamic and fast-paced environment\n BA/BS degree in CS or EE; MS/PhD a plus\n Previous start-up experience is a plus\n \n * We don’t necessarily expect to find a candidate that has done everything listed, but you should be able to make a credible case that you’ve done most of it and are ready for the challenge of adding some new things to your resume. What Makes Suki Unique \n \n A mission that matters: Suki is making healthcare technology invisible and assistive—so clinicians can focus fully on patient care.\n On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .\n An AI product that delivers: Our AI is used by real clinicians at real health systems — and it works.\n A team that gets it: We’re former Googlers, Apple engineers, Stanford docs, and healthcare veterans.\n Backed by believers: We’ve raised $165M from top VCs like Venrock, First Round, Flare, and March Capital.\n On a roll: Named by Fast Company as the Next Big Thing in Tech. Best Leadership Team by Comparably . Technology Innovation Award by Frost \u0026 Sullivan. \n Massive market: We’re disrupting a $30B+ industry, and our momentum is real.\n \n More Than Just a Job \n You’ll join a team of mission-driven builders who care deeply about what we do and how we do it. We believe in showing up with empathy, iterating constantly, and always putting clinicians first.Suki is an Equal Opportunity Employer. We’re committed to building a team that reflects the diverse communities we serve — and to creating a culture of inclusion, belonging, and bold ambition.\n Please note: Applicants must be currently authorized to work in the United States on a full-time basis.\n Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way ","salary_min":140000,"salary_max":170000,"location":"Redwood City, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["api-design","microservices","pytorch","cloud","healthcare"],"apply_url":"https://www.suki.ai/open-positions?gh_jid=8003979003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-23T21:41:09Z","expires_at":"2026-11-13T16:59:13.373621Z","created_at":"2026-10-14T15:22:45.217068Z","updated_at":"2026-10-14T16:59:13.37659Z","company_name":"Suki","company_slug":"suki","company_logo_url":"https://www.google.com/s2/favicons?domain=suki.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/17301eea-c185-43ac-aa88-f55af0b2265a"},{"id":"4f6fe178-7279-49b3-93ea-20220b5bffe7","company_id":"b467c425-56b3-40ce-826a-e603e82a08bd","title":"Senior Software Engineer, ML Infra - Asset Safety","slug":"senior-software-engineer-ml-infra-asset-safety-200dc9f2","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 Safety and Civility is Roblox's #1 priority, and our mission is to protect our global community. As a Senior Software Engineer on the Asset Safety team, you will serve as a hands-on technical leader building resilient, highly scalable systems to ensure millions of daily user-generated assets remain safe and civil. You will tackle complex engineering challenges across diverse modalities—including 3D content, code, images, and video—operating at platform-wide scale across billions of engagement hours while maintaining efficient, low-frequency high-throughput processing.\n You will: \n \n Architect, build, and optimize end-to-end ML-based safety moderation systems to detect and mitigate problematic content using scalable distributed architectures and event-driven, asynchronous workflows.\n Deliver production-grade, AI-driven safety products end-to-end in a dynamic environment, driving execution from initial ideation to deployment while aligning key cross-functional stakeholders.\n Drive technical roadmap decisions, implement robust observability and reliability practices, integrate strict security and compliance standards, and enforce rigorous testing and CI/CD pipelines while mentoring engineering team members.\n Partner closely with Moderation Operations, Product Management, Data Science, and partner engineering teams across Roblox to deliver cohesive safety solutions.\n \n You have: \n \n 5+ years of professional software engineering experience designing, building, and deploying large-scale ML infrastructure and distributed production systems.\n Deep backend engineering expertise in high-capacity microservices, advanced distributed architecture, scalable data storage and management, and event-driven asynchronous processing.\n Proven technical leadership with a track record of architecting, building, and deploying low-latency, distributed ML services to production end-to-end.\n Practical experience with streaming and messaging platforms (e.g., Apache Kafka, Apache Flink), end-to-end testing, CI/CD pipelines, security compliance, and comprehensive system observability.\n Hands-on experience with computer vision techniques and multi-modal architectures spanning image, audio, video, and 3D content modeling.\n Experience fine-tuning large Vision-Language Models (VLMs) is a plus.\n \n You are: \n \n Resourceful: Adaptable in fast-moving environments, with a track record of driving solutions through complex challenges.\n Analytical: Driven to investigate large, complex, and ambiguous technical challenges, using data to quantify problem scope and measure solution effectiveness.\n User-Oriented: Committed to prioritizing the needs of platform users and internal technical partners when designing and scaling backend architecture.\n Team-Oriented: Dedicated to elevating engineering peers, serving as an active mentor, and cultivating a high-standard culture of engineering excellence.\n Mission-Oriented: Focused on core organizational goals, bringing strategic foresight and adaptability to balance long-term technical vision with immediate business impact.\n For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page .\n Annual Salary Range\n $278,530 — $328,610 USD \n Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).\n Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characterist","salary_min":278530,"salary_max":328610,"location":"San Mateo, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["microservices","fine-tuning","computer-vision","data-pipeline","infrastructure","machine-learning"],"apply_url":"https://careers.roblox.com/jobs/8224452?gh_jid=8224452","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-23T20:56:40Z","expires_at":"2026-11-13T17:02:53.272967Z","created_at":"2026-10-14T15:24:56.268225Z","updated_at":"2026-10-14T17:02:53.276063Z","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/4f6fe178-7279-49b3-93ea-20220b5bffe7"},{"id":"886ab709-5556-4a33-955b-f12c8ae94831","company_id":"47c8818e-9a45-4180-8d96-931d2774d36b","title":"Senior Engineering Manager - Machine Learning Data Enablement","slug":"senior-engineering-manager-machine-learning-data-enablement-70b51518","description":"About Upstart \n At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence.\n As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress.\n We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you.\n If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you.\n The Team \n Upstart’s ML Data Enablement team is a platform team with end-to-end ownership (from source to inference) of the data lifecycle that powers all ML models across external vendors and internal datasets. The team’s mission is to make it dramatically easier for ML teams to discover, evaluate, trust, and productionize high-impact data. — with particular emphasis on accelerating new third-party data onboarding and unlocking under-leveraged internal data.\n The team builds scalable infrastructure, standardized workflows, and quality guarantees that reduce integration time, increase evaluation velocity, and enforce strong ownership and SLAs across the ML data lifecycle.\n As the Sr. Engineering Manager - ML Data Enablement, you will lead this organization and define the strategy, operating model, and execution roadmap that increases data evaluation velocity and reduces time-to-production for high-value data sources. You will partner cross-functionally with ML, ML Platform, Procurement, Data Platform, and product engineering teams to transform data from a bottleneck into a durable competitive advantage.\n How you’ll make an impact \n \n \n \n Build and lead a high-performing team spanning data integration, data quality, metadata, and ML-critical data infrastructure for online inference and offline training , including standing up new dedicated integration capacity where needed.\n Set and execute the technical strategy aligned to measurable north star metrics such as increasing data evaluation velocity and reducing time to production.\n Drive robust data quality and reconciliation frameworks, including retro vs. production checks, ingress-level monitoring, and drift detection to prevent launch issues and downstream model degradation.\n Champion a company-wide shift toward data contracts and SLAs, ensuring data producers adopt clear ownership, quality standards, and monitoring practices for ML-critical datasets.\n Establish clear end-to-end ownership across the third-party and internal data lifecycle, eliminating fragmented workflows and implicit accountability.\n Accelerate third-party data onboarding by operationalizing standardized vendor intake, secure retro ingestion, templated integrations, and configurable microservices that reduce engineering lift and cycle time.\n Unlock internal data for ML innovation by improving metadata coverage, lineage standards, ownership contracts, and ML discoverability across high-impact internal domains\n \n \n What we’re looking for \n Minimum requirements \n \n Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of engineer experience, including at least 3 years of direct people management experience\n Owned production data pipelines that enable both offline training and online inference \n Proven experience building and scaling data systems in modern stacks (e.g., Databricks/Spark, Python, SQL, AWS, streaming systems, orchestration frameworks) and distributed systems architecture.\n Demonstrated ownership of complex cross-functional initiatives spanning engineering, ML, and business stakeholders, including delivery under peer pushback and dependency negotiation.\n Experience designing and enforcing data quality frameworks and observability for production systems, including reconciliation, drift detection, and incident/postmortem operating loops.\n \n Preferred qualific","salary_min":195000,"salary_max":270000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["microservices","distributed-systems","payments","data-pipeline","machine-learning"],"apply_url":"https://careers.upstart.com/jobs?gh_jid=8224520","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-22T21:20:04Z","expires_at":"2026-11-13T17:00:05.788719Z","created_at":"2026-10-14T15:23:37.711223Z","updated_at":"2026-10-14T17:00:05.792809Z","company_name":"Upstart","company_slug":"upstart","company_logo_url":"https://www.google.com/s2/favicons?domain=upstart.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/886ab709-5556-4a33-955b-f12c8ae94831"},{"id":"1ae30773-57b7-45fa-826d-8ee7eb1cb372","company_id":"5fac52d7-9b0b-4990-80a2-e2949dd0af1d","title":"Staff Software Engineer, Machine Learning","slug":"staff-software-engineer-machine-learning-f1dfa719","description":"Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.\n  \n Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.\n  \n With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in  Deloitte’s Fast 500  (four years running!),  LinkedIn’s Top Startups ,  Forbes’ Cloud 100 (five years running!),  Inc.’s Best Workplaces , and the  Human Rights Campaign Foundation's Corporate Equality Index !\n About the Role \n Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.\n You will operate with a high degree of ownership, partner closely with Product and Engineering, and help raise the technical bar across our ML systems in a fast-paced, high-impact environment.\n What You’ll Accomplish \n \n You have a proven track record of building systems that maintain a high bar of quality\n You deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques\n You are a collaborator, technical leader, and a great communicator\n You are constantly improving the quality of the project you are working on, both via direct contributions as well as long-term advocacy for larger-scale changes\n You are enthusiastic about the high impact, fast-paced work environment of an late-stage startup\n 10+ years experience is ideal\n \n Your Expertise \n \n You have worked professionally building systems for 6+ years with experience on a single system long enough to see the consequences of your decisions\n Experience with TensorFlow/Pytorch, xgboost, pandas, matplotlib, SQL, Spark or similar tools\n You have proficiency or experience with Python\n You have extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teams\n You have a proven track record of building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation from modern research\n You have led cross-functional machine learning projects across teams\n \n What We Use \n \n Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS\n Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm\n Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS\n Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright\n Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas\n \n You'll get competitive  perks and benefits , from health \u0026 wellness to equity, to help you bring your best self to work.\n For US based applicants: \n \n The US base salary range for this full-time position is $320,000 - $360,000 annually   + equity + benefits\n Our salary ranges are determined by role, level and location\n \n #LI-EF1 \n By applying for this position, your data will be processed as per Attentive's Privacy Policy . \n Attentive Company Values \n Default to Action - Move swiftly and with purpose\n Be One Unstoppable Team - Rally as each other’s champions\n Champion the Customer - Our success is defined by our customers' success\n Act Like an Owner  - Take responsibility for Attentive’s success\n  \n Learn more about AWAKE , Attentive’s collective of employee resource groups.\n  \n If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.\n  \n At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide eq","salary_min":320000,"salary_max":360000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["microservices","pytorch","tensorflow","api-design","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/attentive/jobs/4413218009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-21T17:40:02Z","expires_at":"2026-11-13T17:03:24.691684Z","created_at":"2026-10-14T15:25:28.233821Z","updated_at":"2026-10-14T17:03:24.694386Z","company_name":"Attentive","company_slug":"attentive","company_logo_url":"https://www.google.com/s2/favicons?domain=attentive.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1ae30773-57b7-45fa-826d-8ee7eb1cb372"},{"id":"f7717538-dbe6-4ef0-9708-134e93e56ed8","company_id":"a0000000-0000-0000-0000-000000000018","title":"Software Engineer, Agentic Infrastructure","slug":"software-engineer-agentic-infrastructure-14ae7c3d","description":"About Vercel:\n Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. \n Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. \n About the Role:\n The next generation of software won’t just be used by people — it’ll be built and shipped by agents. Builds are where that happens, and they’re the beating heart of Vercel. Whether an idea starts in v0, in an agent, or in an engineer’s editor, every customer builds — and millions of builds flow through our systems every day.\n As an engineer on the Agentic Infrastructure team, you’ll take ownership of the systems that carry that work at scale. You won’t just contribute features — you’ll be responsible for the design, reliability, and evolution of the platform itself. You’ll make decisions that shape performance, define best practices, and ensure the workflows that Vercel, our customers, and their agents depend on are fast, resilient, and secure.\n This role blends product thinking with deep systems ownership. You’ll partner with teams across Vercel to build and operate the agentic infrastructure that determines how software actually ships.\n We’re looking for engineers who want to own high-scale systems end-to-end, thrive on improving the developer/agent experience, and are driven to have a lasting impact on how modern software gets built and delivered.\n What You Will Do:\n \n Own and evolve the infrastructure that powers Vercel’s build and deployment lifecycle — from handling webhooks to designing resilient database schemas and building scalable APIs.\n Design and operate high-performance microservices that process millions of builds daily, ensuring speed, reliability, and developer delight.\n Lead projects end-to-end: from identifying opportunities to defining technical direction and delivering improvements in performance, reliability, and developer experience.\n Collaborate across teams to align infrastructure with company-wide goals and ensure seamless developer workflows.\n Shape the long-term vision of agentic infrastructure at Vercel by setting standards for scalability, reliability, and developer productivity.\n Participate in the on-call rotation, taking responsibility for the reliability of critical systems.\n Contribute to the open-source community, representing Vercel’s commitment to advancing developer tools globally.\n Write clean, efficient, tested, and well-documented code that others can build upon confidently.\n \n About You:\n \n 3+ years of experience designing, building, and operating backend applications and distributed systems at scale.\n Strong proficiency in JavaScript/TypeScript, with the ability to navigate and improve complex systems.\n Strong proficiency with cloud infrastructure (AWS) and infrastructure as code (Terraform)\n A track record of end-to-end ownership — from design and implementation through to long-term operation in production.\n Skilled at cross-team collaboration, able to influence priorities and drive alignment toward shared goals.\n Able to reason about technical direction and architectural tradeoffs, balancing long-term vision with pragmatic delivery.\n Invested in the people around you — through mentorship, code review, or simply raising the bar on how the team builds.\n Curious, eager to learn, and motivated to push the boundaries of how modern software gets built and shipped.\n \n Bonus If You:\n \n Are familiar with React or Next.js\n Have experience with DynamoDB\n Have worked to develop a CI/CD platform or internal developer platform used by other engineers or by agents.\n Have experience contributing to, or participating in open-source projects.\n Have experience optimizing build systems for monorepos or polyrepo setups.\n Have experience with build caching, artifact storage, or dependency management at scale.\n \n Benefits \u0026 Compensation:\n \n Competitive compensation package, including equity.\n Inclusive Healthcare Package.\n Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.\n Flexible Time Off.\n We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.\n \n The base pay range for this role is $196,000.00 - $294,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. \n #LI-KR1\n Disclosures: \n \n Privacy: Please review our Job Applicant Privacy Policy for more information on","salary_min":196000,"salary_max":294000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["microservices","cloud","agents","healthcare","distributed-systems","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/vercel/jobs/6199608004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-17T21:56:20Z","expires_at":"2026-11-13T16:55:41.958646Z","created_at":"2026-10-14T15:19:47.739689Z","updated_at":"2026-10-14T16:55:41.961894Z","company_name":"Vercel","company_slug":"vercel","company_logo_url":"https://www.google.com/s2/favicons?domain=vercel.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f7717538-dbe6-4ef0-9708-134e93e56ed8"},{"id":"0b3213fe-7b3c-4d47-abb6-e69cbe6f1bad","company_id":"5fac52d7-9b0b-4990-80a2-e2949dd0af1d","title":"Principal Software Engineer, Machine Learning","slug":"principal-software-engineer-machine-learning-489c592f","description":"Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.\n  \n Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.\n  \n With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in  Deloitte’s Fast 500  (four years running!),  LinkedIn’s Top Startups ,  Forbes’ Cloud 100 (five years running!),  Inc.’s Best Workplaces , and the  Human Rights Campaign Foundation's Corporate Equality Index !\n About the Role \n Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.\n You will operate with a high degree of ownership, partner closely with Product and Engineering, and help raise the technical bar across our ML systems in a fast-paced, high-impact environment.\n What You’ll Accomplish \n \n You have a proven track record of building systems that maintain a high bar of quality\n You deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques\n You are a collaborator, technical leader, and a great communicator\n You are constantly improving the quality of the project you are working on, both via direct contributions as well as long-term advocacy for larger-scale changes\n You are enthusiastic about the high impact, fast-paced work environment of an late-stage startup\n 10+ years experience is ideal\n \n Your Expertise \n \n You have worked professionally building systems for 10+ years with experience on a single system long enough to see the consequences of your decisions\n Experience with TensorFlow/Pytorch, xgboost, pandas, matplotlib, SQL, Spark or similar tools\n You have proficiency or experience with Python\n You have extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teams\n You have a proven track record of building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation from modern research\n You have led cross-functional machine learning projects across teams\n \n What We Use \n \n Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS\n Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm\n Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS\n Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright\n Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas\n \n You'll get competitive  perks and benefits , from health \u0026 wellness to equity, to help you bring your best self to work.\n For US based applicants: \n \n The US base salary range for this full-time position is $350,000 - $430,000 annually   + equity + benefits\n Our salary ranges are determined by role, level and location\n \n #LI-EZ-1  \n By applying for this position, your data will be processed as per Attentive's Privacy Policy . \n Attentive Company Values \n Default to Action - Move swiftly and with purpose\n Be One Unstoppable Team - Rally as each other’s champions\n Champion the Customer - Our success is defined by our customers' success\n Act Like an Owner  - Take responsibility for Attentive’s success\n  \n Learn more about AWAKE , Attentive’s collective of employee resource groups.\n  \n If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.\n  \n At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provid","salary_min":350000,"salary_max":430000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["pytorch","microservices","api-design","tensorflow","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/attentive/jobs/4410440009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-17T21:55:13Z","expires_at":"2026-11-13T17:03:24.66084Z","created_at":"2026-10-14T15:25:28.200397Z","updated_at":"2026-10-14T17:03:24.663927Z","company_name":"Attentive","company_slug":"attentive","company_logo_url":"https://www.google.com/s2/favicons?domain=attentive.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0b3213fe-7b3c-4d47-abb6-e69cbe6f1bad"},{"id":"a2720ef3-f406-4ff8-872e-954de74b642e","company_id":"5fac52d7-9b0b-4990-80a2-e2949dd0af1d","title":"Principal Software Engineer, Machine Learning","slug":"principal-software-engineer-machine-learning-9cd39cb5","description":"Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.\n  \n Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.\n  \n With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in  Deloitte’s Fast 500  (four years running!),  LinkedIn’s Top Startups ,  Forbes’ Cloud 100 (five years running!),  Inc.’s Best Workplaces , and the  Human Rights Campaign Foundation's Corporate Equality Index !\n Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.\n You will operate with a high degree of ownership, partner closely with Product and Engineering, and help raise the technical bar across our ML systems in a fast-paced, high-impact environment.\n What You’ll Accomplish \n \n You have a proven track record of building systems that maintain a high bar of quality\n You deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques\n You are a collaborator, technical leader, and a great communicator\n You are constantly improving the quality of the project you are working on, both via direct contributions as well as long-term advocacy for larger-scale changes\n You are enthusiastic about the high impact, fast-paced work environment of an late-stage startup\n 10+ years experience is ideal\n \n Your Expertise \n \n You have worked professionally building systems for 10+ years with experience on a single system long enough to see the consequences of your decisions\n Experience with TensorFlow/Pytorch, xgboost, pandas, matplotlib, SQL, Spark or similar tools\n You have proficiency or experience with Python\n You have extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teams\n You have a proven track record of building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation from modern research\n You have led cross-functional machine learning projects across teams\n \n What We Use \n \n Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS\n Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm\n Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS\n Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright\n Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas\n \n You'll get competitive  perks and benefits , from health \u0026 wellness to equity, to help you bring your best self to work.\n For US based applicants: \n \n The US base salary range for this full-time position is $350,000 - $430,000 annually   + equity + benefits\n Our salary ranges are determined by role, level and location\n \n #LI-EZ-1  \n By applying for this position, your data will be processed as per Attentive's Privacy Policy . \n Attentive Company Values \n Default to Action - Move swiftly and with purpose\n Be One Unstoppable Team - Rally as each other’s champions\n Champion the Customer - Our success is defined by our customers' success\n Act Like an Owner  - Take responsibility for Attentive’s success\n  \n Learn more about AWAKE , Attentive’s collective of employee resource groups.\n  \n If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.\n  \n At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employmen","salary_min":350000,"salary_max":430000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["tensorflow","microservices","pytorch","api-design","machine-learning"],"apply_url":"https://job-boards.greenhouse.io/attentive/jobs/4408455009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-17T21:55:10Z","expires_at":"2026-11-13T17:03:24.655321Z","created_at":"2026-10-14T15:25:28.195859Z","updated_at":"2026-10-14T17:03:24.659288Z","company_name":"Attentive","company_slug":"attentive","company_logo_url":"https://www.google.com/s2/favicons?domain=attentive.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a2720ef3-f406-4ff8-872e-954de74b642e"},{"id":"1a8c73d0-0fe2-4c77-8967-4f6217331b2f","company_id":"a25140f5-772d-4c47-947d-7c655ed80737","title":"Software Engineer - Analytical Platform Services","slug":"software-engineer-analytical-platform-services-64f1248c","description":"Software Engineer - Analytical Platform Services  \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 building a diverse and inclusive team to tackle complex health and technical challenges. We are seeking enthusiastic new graduates who are problem-solvers, collaborative teammates, and eager to make a difference in healthcare. If you’re excited about purposeful work, joining a mission-driven team, and launching your career in a supportive environment, Truveta could be the perfect place to start.   \n This Opportunity   \n At Truveta, you’ll help shape the future of how researchers interact with data, enabling breakthrough discoveries that can improve lives. You’ll work at the intersection of cloud services, data platforms, and user experiences, building technologies that empower researchers to explore, analyze, and visualize data at unprecedented scale. \n Patients, doctors, and medical researchers deserve modern, intuitive tools that make large-scale data analysis accessible and efficient. At Truveta, we are building a next-generation analytics platform that enables researchers to securely derive insights from healthcare data, accelerate scientific discovery, and improve health outcomes. \n We are seeking a Software Engineer to design, build, and operate the platform services that power Truveta’s analytical experiences. In this role, you will develop scalable cloud services, APIs, distributed systems, and modern web applications, contributing across the full stack to deliver secure, reliable, and high-performance solutions. \n You will work closely with Product, Design, and Engineering teams to translate researcher needs into intuitive and scalable experiences. This role offers the opportunity to tackle challenging technical problems, influence the future of Truveta’s analytics platform, and make a meaningful impact on our mission of saving lives with data. \n Work Areas:   \n \n Build next-generation notebook experiences that enable researchers to efficiently explore, analyze, and derive insights from large-scale datasets. \n Develop and evolve Python and R SDKs that empower researchers to perform scalable data analysis and accelerate scientific discovery. \n Design and build technologies that enable researchers to create, customize, and share interactive dashboards for data visualization and insights. \n \n Key Qualifications   \n \n BS/MS degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. \n 3+ years of experience building, deploying, and operating scalable cloud services using .NET (C#) and/or Python. \n Strong backend development experience with REST APIs, microservices, distributed systems, and cloud-native architectures on platforms such as Azure. \n Working knowledge of modern frontend technologies and experience delivering end-to-end solutions in cross-functional teams. \n Experience building developer tools, analytical applications, data platforms, or user-facing products for technical users is a plus. \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 $110,000 to $145,000. 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 residents linked here.   \n Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with div","salary_min":110000,"salary_max":145000,"location":"Seattle, WA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["healthcare","api-design","microservices","distributed-systems"],"apply_url":"https://job-boards.greenhouse.io/truveta/jobs/6193466004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-15T18:59:22Z","expires_at":"2026-11-13T17:00:07.885154Z","created_at":"2026-10-14T15:23:39.306538Z","updated_at":"2026-10-14T17:00:07.889586Z","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/1a8c73d0-0fe2-4c77-8967-4f6217331b2f"},{"id":"5147c608-7a99-4003-94cc-305c82d6ded4","company_id":"ec4a8bb4-3840-4054-8ccd-77e81db037af","title":"Platform Full-Stack Engineer, New Grad 2027","slug":"platform-full-stack-engineer-new-grad-2027-4d65a743","description":"C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI \n We are hiring early professional Platform Full-Stack Engineers to help build and evolve the C3 AI Platform. Our platform enables developers and customers to rapidly build, deploy, and scale data-rich AI applications across industries. You will have the opportunity to work across the technology stack and solve challenging engineering problems that directly impact the capabilities, performance, and usability of the C3 AI Platform.\n This role is open to candidates graduating in December 2025 or Summer/Fall 2027. \n Responsibilities: \n \n Design, develop, test, and maintain scalable full-stack capabilities for the C3 AI Platform.\n Build reliable and reusable platform services, APIs, developer tools, and application capabilities.\n Write clean, efficient, maintainable, and reusable code.\n Contribute to solutions that enable AI applications to efficiently process and scale to large volumes of data.\n Collaborate with product managers, designers, and engineers to translate requirements into high-quality technical solutions.\n Troubleshoot and resolve technical issues across the full technology stack.\n Participate in code reviews, testing, and continuous improvements to platform quality, performance, and reliability.\n Learn and adopt new technologies and engineering practices to continuously improve the C3 AI Platform.\n \n Qualifications: \n \n Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, with an expected graduation date of Summer or Fall 2027.\n Strong programming fundamentals and experience developing software in at least one programming language, such as Python, Java, JavaScript, or TypeScript.\n Basic understanding of full-stack application development, including APIs, databases, and distributed systems.\n Familiarity with modern software development frameworks and tools through coursework, internships, personal projects, or prior work experience.\n Strong problem-solving and analytical skills, with attention to detail.\n Demonstrated ability to learn new concepts and technologies quickly.\n Excellent communication and collaboration skills.\n Ability to work effectively in a fast-paced, agile engineering environment.\n \n Preferred Qualifications: \n \n Experience building full-stack applications or platform services through internships, projects, open source, or professional experience.\n Experience with technologies such as React, TypeScript, Python, Java, or similar modern technologies.\n Familiarity with cloud platforms, microservices, distributed systems, or scalable application architectures.\n Experience building or working with platform services, APIs, data storage, CI/CD pipelines, or other software development infrastructure.\n Experience building developer tools or platforms that improve engineering productivity.\n Experience integrating AI/ML capabilities or working with AI-powered applications.\n Strong understanding of software architecture, performance, and reliability principles.\n Ability to clearly articulate technical concepts to both technical and non-technical audiences.\n C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.  \n California Base Pay Range\n $120,000 — $150,000 USD \n C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.","salary_min":120000,"salary_max":150000,"location":"Redwood City, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["microservices","agents","generative-ai","distributed-systems","fullstack"],"apply_url":"https://c3.ai/job-description/8801434002?gh_jid=8801434002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-14T16:19:09Z","expires_at":"2026-11-13T16:58:24.248739Z","created_at":"2026-10-14T15:22:03.153786Z","updated_at":"2026-10-14T16:58:24.253276Z","company_name":"C3 AI","company_slug":"c3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=c3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/5147c608-7a99-4003-94cc-305c82d6ded4"},{"id":"8c5c4de1-b571-4da6-a5f0-11e8efac0401","company_id":"377b9ca2-ac79-48a5-8657-da630f9e447d","title":"Principal Engineer, Secure AI Gateway","slug":"principal-engineer-secure-ai-gateway-c5efe138","description":"Join the Future of Security at Netskope\n Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.\n At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.\n Visit Careers at Netskope to learn more. Follow us on  LinkedIn and  Instagram .\n Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. \n About the role\n Netskope Cloud Data Plane engineers architect and design one of the most scalable, high-performance cloud API routing and orchestration platforms in the world, processing 10+ Gbps of traffic, performing intelligent routing and policy application across LLM providers and AI services using advanced techniques to detect threats and apply dynamic policies, all at line rate.\n What's in it for you\n In this role you will help lead the Netskope AI Security Gateway - a platform that empowers enterprises to securely unlock the transformative power of Generative AI and LLMs at scale. You will conduct technical research, collaborate with internal engineering and product management teams, collaborate with engineers in US, Taiwan and India to design, develop and integrate innovative security capabilities into our platform. You'll own architectural decisions that affect how the platform routes, transforms, secures and inspects API traffic across LLM providers, AI services and cloud platforms.  \n What you will be doing\n \n Design, architect and develop high performance, scalable cloud-based security systems to detect and mitigate threats on LLM APIs and Generative AI applications\n Setting and driving the overall architectural design and strategic technical directions for the Cloud API Gateway platform\n Define and drive best practices around scalable microservices, distributed systems, APIs and secure data flows across multiple LLM providers (Layer 3 to Layer 7)\n Lead and inspire a world-class engineering organization, fostering a culture of innovation, collaboration and continuous improvement\n Partner with product management to understand customer requirements, lead the team and collaborate with other engineering teams to design and implement high-quality solutions\n Build scalable and performant services that route, transform and secure various API protocols (LLM APIs, REST, gRPC, etc.), using advanced data structures and algorithms in GoLang. Perform deep inspection of LLM API traffic in real-time to detect and mitigate attacks on AI services\n Design and implement dynamic routing algorithms for multi-provider LLM orchestration, intelligent request transformation, load balancing, and failover logic\n Integrate with security features including DLP, Threat protection, and UEBA for LLM-specific attack pattern recognition, content inspection and policy application\n Implement sophisticated credential and token management algorithms for secure multi-provider orchestration\n Perform architectural reviews, code reviews and mentor junior engineers\n Stay abreast of emerging GenAI and cybersecurity technologies, proactively propose innovative solutions\n \n Required skills and experience\n \n 10 to 12+ years of experience in software engineering, with 5+ years in architectural or technical leadership role\n Deep expertise in backend engineering using Golang, or similar languages. Ability to review code in GoLang and similar languages, such as C and C++.\n Proven experience designing large-scale, secure and cloud-native systems\n Expertise in building high throughput and low latency data systems, such as networking from Layer 3 to Layer 7, web proxy, load balancing, request routing, API gateways, security, monitoring and observability, distributed systems, data processing, etc.\n Expertise in dealing with complex architectural problems across multiple products and at the same time handling design issues at module level\n Strong understanding of computer architecture – multi-threading, CPU scheduling, memory management with practical knowledge of Linux at system/kernel level\n Hands-on experience with Docker and Kubernetes, specifically debug","salary_min":133500,"salary_max":272000,"location":"San Jose, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["security","fine-tuning","microservices","cloud","generative-ai","api-design","llm","distributed-systems"],"apply_url":"https://www.netskope.com/company/careers/open-positions/?gh_jid=8174989","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-09-02T20:54:56Z","expires_at":"2026-11-13T16:58:16.438015Z","created_at":"2026-09-03T13:40:48.230703Z","updated_at":"2026-10-14T16:58:16.44572Z","company_name":"Netskope","company_slug":"netskope","company_logo_url":"https://www.google.com/s2/favicons?domain=netskope.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8c5c4de1-b571-4da6-a5f0-11e8efac0401"},{"id":"0c54ead2-210d-4e05-a166-bb1121ab4f00","company_id":"76c63eb7-c307-4322-8c2b-c20216feec49","title":"Senior Backend Engineer, Data \u0026 App Platform ","slug":"software-engineer-back-end-pentest-platform-742ace88","description":"Get to Know Us\n\nHorizon3 http://Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by IT Ops/SecOps teams, consulting pentesters, and MSSPs and MSPs.\n\nWe are a fusion of former U.S. Special Operations cyber operators, startup engineers \u0026 operators, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, \"checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.\n\nAs a remote first company, we require minimum 25Mbps consumer grade broadband connection.\n\n\n\n\nWHAT YOU'LL DO\n\nThe Pentest Data Platform (PDP) team owns the shared data platform that ingests NodeZero output from ephemeral operations and delivers it into durable storage, increasingly, in near real time. The team's core mandate is to build a scalable, event-driven architecture that makes operational insights available in near real-time, not just after it finishes.\n\nPDP is a foundational, platform-oriented team whose outputs power core user experiences within the NodeZero security platform. PDP owns the data contracts and internal data services that everything else is built on top of.\n\nNodeZero generates large volumes of structured pentest telemetry: hosts, findings, attack paths, credentials, weaknesses, and relationship graphs. PDP is responsible for turning that raw telemetry into coherent, durable, and queryable records that downstream teams can build on reliably at enterprise scale.\n\nThe team is driving the largest architectural change in Horizon3's history: reworking pentest data processing from a batch-centric monolith into a real-time, event-driven microservice architecture. There is existing code to understand, live customers to protect, and hard distributed-systems problems to solve, all at the same time.\n\n\n\nIn this role, you will:\n\n - Own event-driven pipelines end to end — design, build, and operate streaming services that ingest, distribute, and process pentest operation results, including streaming and batch ETL, aggregation services, schema migrations, and replayable processing.\n\n - Solve real-time asset identity problems — work on asset matching, asset counting, and cross-operation reconciliation, including reducing false splits and overcounting, improving matching explainability, and making asset identity available while an operation is running rather than only after completion.\n\n - Evolve the data model — manage durable SQL-backed storage (PostgreSQL), drive schema evolution with zero-regression fidelity, and ensure data correctness, idempotency, and reliable reprocessing and failure handling.\n\n - Drive enterprise scalability — own database performance, connection pooling, resource management, and platform reliability for a system that must handle hundreds of thousands of hosts per customer.\n\n - Translate batch logic into streaming designs — convert batch business logic (finding enrichment, attack path analysis, host and identity correlation and other core requirements) into streaming designs without regressing fidelity for existing customers.\n\n - Build and maintain shared platform infrastructure — contribute to common processing services that underpin features that enable customers to discover, prioritize, and report on weaknesses; support integration-test infrastructure including delta tracking and batch-transformation frameworks; build auto-discovery and code-generation tooling to accelerate new streaming service development.\n\n - Own operational excellence — maintain ETL dashboards and data-platform monitors, participate in on-call rotations and incident response for production processing failures, manage stuck-operation workflows, define SLOs, and set up instrumentation and alerting for systems that are central to every pentest Horizon3 runs.\n\n - Raise the technical bar — contribute through design reviews, technical writing, merge request reviews, clear API contracts with neighboring platform and product teams, and durable decision records.\n\n\nREQUIRED EDUCATION/EXPERIENCE\n\n - 4+ years of software engineering experience.\n\n - Proficiency in Python, Go, or similar languages with experience in large-scale production codebases.\n\n - Production experience with PostgreSQL inclu","salary_min":170000,"salary_max":235000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["data-pipeline","security","microservices","cloud","backend"],"apply_url":"https://jobs.ashbyhq.com/horizon3ai/7ba09c64-7d14-43c1-9f0a-fcf2d8449857/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T15:24:01.299Z","expires_at":"2026-11-13T16:56:49.839058Z","created_at":"2026-08-29T13:37:07.759091Z","updated_at":"2026-10-14T16:56:49.843076Z","company_name":"Horizon3 AI","company_slug":"horizon3-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=horizon3.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0c54ead2-210d-4e05-a166-bb1121ab4f00"},{"id":"b2c3d4fa-c55a-4ca0-9c02-5d32a97603c5","company_id":"66e863fb-9aaf-40df-996c-eb439e6f857e","title":"Application Security Engineer","slug":"application-security-engineer-d3e8580e","description":"About Glean: \n  \n Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. \n  \n At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. \n  \n Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. \n  \n If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. \n  \n About the Role: \n Glean is looking for an experienced Application Security Engineer with a primary focus on ensuring that our entire technology stack is free of software vulnerabilities (CVEs). This role is responsible for securing our base OS images, ensuring all open-source software (OSS) dependencies are scanned and patched, and integrating cutting-edge security tools into our CI/CD pipeline. The ideal candidate will drive the adoption of solutions like Google’s Assured Open Source Software (OSS) and explore alternative approaches to enhance software security. This role will lead the vulnerability management charter at Glean, identifying, evaluating, and implementing new security technologies and processes to proactively protect our infrastructure. \n You will: \n \n Own the vulnerability management lifecycle across Glean’s technology stack, from discovery and prioritization through remediation, reporting, and measurement. \n \n Harden base OS images and secure open-source dependencies, package managers, and the broader software supply chain. \n \n Integrate SAST, DAST, dependency scanning, and automated security validation into CI/CD pipelines. \n \n Evaluate, adopt, and develop security solutions and tooling, including Google’s Assured OSS and comparable approaches. \n \n Define secure-coding practices and drive engineering adoption through guidance, training, and mentorship. \n \n About you: \n \n BA/BS in Computer Science, Cybersecurity, or a related field (or equivalent industry experience). \n 8+ years of experience in application security and vulnerability management. \n Deep understanding of software security vulnerabilities, including CVEs, OWASP Top 10, and supply chain risks. \n Experience with SAST, DAST, dependency scanning, and vulnerability management tools (e.g., Snyk, GitHub Dependabot, Trivy, Clair, Burp Suite, OWASP ZAP).  \n Hands-on experience with cloud-native security across AWS, GCP, including containers, Kubernetes, and microservices. \n Ability to lead cross-functional initiatives and drive security adoption across engineering teams. \n Proactive, pragmatic, and collaborative, with strong problem-solving skills and the ability to balance security with performance and usability. \n \n Location:  \n \n This role is remote \n \n Compensation \u0026 Benefits: \n The standard base salary range for this position is $185,000 - $260,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. \n We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvem","salary_min":185000,"salary_max":260000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["cloud","security","microservices","agents","llm"],"apply_url":"https://job-boards.greenhouse.io/gleanwork/jobs/4728513005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T21:54:35Z","expires_at":"2026-11-13T16:55:35.099785Z","created_at":"2026-08-29T13:34:16.593931Z","updated_at":"2026-10-14T16:55:35.102741Z","company_name":"Glean","company_slug":"glean","company_logo_url":"https://www.google.com/s2/favicons?domain=glean.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b2c3d4fa-c55a-4ca0-9c02-5d32a97603c5"},{"id":"280219b5-1d1a-4b23-8422-baab1f0239cd","company_id":"63bced38-3605-4e57-99f3-e213b2d40bf3","title":"Sr. Manager, Engineering","slug":"sr-manager-engineering-13c89eb3","description":"Opportunity Overview:  \n We are seeking a Senior Engineering Manager to lead our Review Engineering team — roughly 20+ engineers across three squads in the US and India — building the workflows and capabilities that let clinical operations staff deliver care at scale, efficiently and with high quality. Leading through dedicated technical leads on each squad, you'll own the reliability and technical direction of Review's systems while partnering closely with Product, Design, Security, Clinical Operations, and peer engineering teams on shared platforms. This is an opportunity to shape a growing, business-critical part of Cohere's platform and to grow the next generation of engineering leaders in health technology.\n This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events.\n What you’ll do: \n \n Lead 20+ engineers across multiple agile squads (US and India) through dedicated technical leads\n Own production reliability for Review-owned systems — incident response, root-cause RCAs, and cross-functional tiger teams for major incidents\n Set technical vision and provide leadership across design and sprint processes, partnering with Staff Engineers\n Drive delivery transparency through sprint metrics, catching risk early and informing data-driven interventions\n Partner with Product, Design, Security, Clinical Ops, and peer engineering teams (including our Hyderabad group) on shared systems and initiatives\n Own hiring, leveling, and career growth for direct reports and their leads; help attract and retain top talent\n Build a culture that grows early-career engineers into future health-tech leaders, with a bias toward team autonomy\n Champion testing, quality, and security practices in a regulated (HIPAA/SOC2) environment\n \n What you’ll need: \n \n 5+ years managing software engineering teams in a fast-paced, agile environment, including 3+ years leading multiple teams through technical leads or managers\n Experience leading distributed/multi-site teams across time zones (e.g. US/India), including partnering with groups outside your direct reporting line\n Hands-on full-stack engineering background\n Proven ability to own production systems and incident response, ideally in a regulated (healthcare, HIPAA/SOC2) environment\n Strong grounding in modern development practices (version control, unit testing, CI/CD)\n Experience designing and scaling distributed/microservices systems for high-throughput, high-growth products\n A passion for quality products and high-performing, autonomous teams\n Bachelor's degree in computer science, software engineering\n \n Pay \u0026 Perks: \n 💻 Fully remote opportunity with about 5% travel\n 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program \n 📈 401K retirement plan with company match; flexible spending and health savings account \n 🏝️ Flex Time Off + company holidays\n 👶 Up to 14 weeks of paid parental leave \n 🐶 Pet insurance  \n The salary range for this position is $185,000 to $225,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. \n Interview Process*: \n \n Connect with Talent Acquisition for a Preliminary Phone Screening\n Meet your Hiring Manager!\n Live System Design Exercise \n Project Discussion \n Cross Functional Interview \n \n *Subject to change\n About Cohere Health: \n Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. \n With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.\n Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 \u0026 2024.","salary_min":185000,"salary_max":225000,"location":"United States","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["microservices","payments","agents","healthcare"],"apply_url":"https://job-boards.greenhouse.io/coherehealth/jobs/7979401003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T18:00:50Z","expires_at":"2026-11-13T16:56:47.736235Z","created_at":"2026-08-29T13:36:57.646684Z","updated_at":"2026-10-14T16:56:47.739269Z","company_name":"Cohere Health","company_slug":"cohere-health","company_logo_url":"https://www.google.com/s2/favicons?domain=coherehealth.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/280219b5-1d1a-4b23-8422-baab1f0239cd"},{"id":"b9aa4c99-030d-4e40-9e6f-9761f83b7938","company_id":"308b7777-69e1-49db-ad79-3912d6c6e648","title":"Staff Software Engineer, Marketplace Acquisition","slug":"staff-software-engineer-marketplace-acquisition-e55d1f4b","description":"Our Mission \n You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked.  \n We’re here to give power to the patient. \n For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more.\n Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking.\n Fixing healthcare starts with fixing access to it. And we're still just getting started.\n  \n Your Impact on our Mission \n As a Staff Software Engineer on the Marketplace Acquisition team at Zocdoc, you'll turn ideas into reality fast — prototyping, iterating, and shipping high-impact experiences that help patients discover and access care. You'll own the systems behind Zocdoc's patient acquisition and engagement, keeping everything at the top of the funnel stable, scalable, and fast. That means driving the evolution of our SEO infrastructure, which powers thousands of patient-facing pages; iterating on provider profile and practice page designs to create seamless, trustworthy experiences; and building the APIs and services that make patient-facing data fast and reliable at scale.\n You'll also shape how we build. Zocdoc is making a company-wide push to drive engineering through the lens of AI, and you'll be an active participant in it — bringing AI into your day-to-day development, contributing to the standards, guardrails, and review practices the organization is building, and raising the ceiling on what a small team can ship. Multiplying the output of the engineers around you is as much a part of this role as the code you write yourself.\n You'll work closely with Design, Product, and Marketing to align on strategy and deliver measurable impact, all while fostering a culture of technical excellence, mentorship, and innovation that keeps Zocdoc at the forefront of healthcare technology.\n  \n You’ll enjoy this role if you are… \n \n Driven by the opportunity to impact healthcare positively, our mission is to create a seamless, efficient, and deeply human experience\n Product-driven with a relentless focus on user needs; you’re excited to partner closely with cross-functional teams, leading projects beginning from the early ideation phase\n Passionate about engineering excellence, with a strong focus on promoting best practices in code quality, testing, and long-term maintainability across teams and the organization\n An entrepreneur with strong ownership who can thrive in an ambiguous and fast-changing environment\n \n  \n Your day to day is… \n \n Leading the technical direction of Zocdoc’s acquisition platform, enhancing system stability and user experience. Guiding technical discussions, ensuring decisions are scalable and dependable, and aligning infrastructure with the team’s broader mission\n Building scalable APIs and microservices that power frictionless data access and informed patient decision-making\n Collaborating with design counterparts to iterate on user experiences and improve the overall customer journey\n Proactively engaging with product counterparts to align on vision, strategy, and execution, ensuring projects stay on track and deliver business value\n Mentoring engineers and driving team excellence through coding standards, automation, and continuous improvement\n Leading bold innovation initiatives centered on AI, leveraging emerging data sources and cutting-edge architectures to position Zocdoc as a leader in healthcare technology\n \n  \n You’ll be successful in this role if you have… \n \n Owned and evolved complex, user-facing platforms end-to-end, balancing rapid delivery with long-term technical vision to ensure scalable, maintainable, and impactful experiences\n Designed and built performant systems with search engine optimization (SEO) and page speed as top priorities, ensuring fast, reliable, and discoverable patient experiences at scale\n Architected full-stack solutions spanning backend APIs, AWS-based infrastructure, and React systems that are modular, reusable, and leveraged across teams\n Integrated with third-party data sources and content management systems, such as Contentful, to deliver dynamic, flexible, and content-rich user experiences\n Leveraged large language model (LLM) systems to transform raw user data into actionable insights, powering intelligent and personalized features\n Driven engineering excellence through best-in-class practices in testing, CI/CD, observability, and system performance optimization\n Mentored and collaborated across distrib","salary_min":180000,"salary_max":265000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["healthcare","llm","microservices","search"],"apply_url":"https://job-boards.greenhouse.io/zocdoc/jobs/8082085","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-24T19:28:42Z","expires_at":"2026-11-13T17:03:23.397524Z","created_at":"2026-08-25T18:33:36.50581Z","updated_at":"2026-10-14T17:03:23.400579Z","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/b9aa4c99-030d-4e40-9e6f-9761f83b7938"}],"page":1,"per_page":20,"total":177,"total_is_exact":true,"total_pages":9}