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Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.\n Staff FullStack Engineer, AI Acceleration Team\n The AI Acceleration Team\n The AI Acceleration Team builds AI features right where identity and agents meet. Companies are handing real access to AI agents faster than their controls can keep up, and two problems show up first: how do you authorize what an agent is allowed to do on someone's behalf, and how do you keep both people and agents from being phished? We take those on directly.\n Our North Star: to get AI right, you have to get identity right. We are a new team, and we shape the problems as much as we solve them. We bring a product mindset to the work: we dig into what customers actually need, define the outcome, and build toward it. We move fast, stay close to the real problem, and are honest about what works.\n The Staff FullStack Engineer Opportunity\n As a Staff FullStack Engineer on the AI Acceleration Team, you will own the technical build for solving agent authorization and phishing resistance. You see what needs doing and start it. This is 0-to-1 work, meaning you will move on problems before they are fully specified, always keeping customer success as the ultimate bar.\n You will help shape which problems we take on, make architectural calls that outlive any single project, and set the technical bar for how we work. You will enforce least privilege for what agents can do and make phishing-resistant access the default. We build with Vercel and AWS, and you will likely work heavily in JavaScript/TypeScript and Java.\n What you'll be doing\n \n Solve core authorization challenges: Define how companies authorize agent actions and enforce least privilege for what an agent can do on a user's behalf.\n Design secure access: Build phishing-resistant authentication and authorization for both people and the agents acting for them.\n Shape the product: Bring a product mindset to dig into what customers need, define the desired outcomes, and build toward them rather than just executing solutions.\n Own the quality bar: Act as the voice for product and quality judgment in the room, taking ownership of the outcome, not just the code.\n Drive technical architecture: Make and defend architectural decisions on distributed systems and complex API integrations that will scale as the work grows.\n Modernize development: Advance how we use AI across our development lifecycle—how we design, review, and ship—and bring the rest of the team along with you.\n Coach and multiply: Raise the technical bar of the entire team, building judgment in others rather than trying to solve everything yourself.\n Improve engineering excellence: Spot and prioritize tech debt, driving improvements beyond feature work (CI/CD, observability, documentation, reliability, and support).\n Stay customer-aware: Build with a clear, direct line to the customer problem and the outcome you're solving for, even if you aren't in every customer conversation.\n \n What you'll bring to the role\n \n A self-starter mentality: The ability to spot what matters, drive work autonomously, and thrive in ambiguity while helping to form a new charter.\n Advanced AI tool proficiency: The ability to apply AI meaningfully across the software development lifecycle, evaluate new tooling with good judgment, and establish practices for the wider team.\n Architectural expertise: Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies, including making decisions with lasting, org-wide impact.\n Security fundamentals: A solid grasp of web authentication and authorization, including how auth flows work and how to secure sensitive user data.\n Backend proficiency: Deep expertise in building reliable, secure, enterprise-grade software in Java or another type-safe language.\n Frontend flexibility: High proficiency in JavaScript/TypeScript with true fullstack range, including the ability to ship robust frontends.\n Cloud infrastructure knowledge: Strong cloud architecture fundamentals, with experience designing and operating large-scale services on AWS.\n \n Extra credit\n \n Background working on a zero-to-one, startup-like team.\n Track record of leading a team through a real shift in how they work (e.g., AI adoption, new developer tooling, or cultural shifts).\n Familiarity with developing Identity and Access Management (IAM) tooling.\n \n P25594\n Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, quali","salary_min":160000,"salary_max":220000,"location":"Toronto, Canada","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","healthcare","agents","cloud","fullstack"],"apply_url":"https://www.okta.com/company/careers/opportunity/8165163?gh_jid=8165163","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-28T23:31:40Z","expires_at":"2026-09-29T13:39:37.203584Z","created_at":"2026-08-29T13:40:17.175916Z","updated_at":"2026-08-30T13:39:37.341538Z","company_name":"Okta","company_slug":"okta","company_logo_url":"https://www.google.com/s2/favicons?domain=okta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4a439361-6d5b-42c9-adff-208df6aad3bd"},{"id":"130278d1-56fd-43d0-bd53-bc36938ae400","company_id":"e455f75a-a424-4955-9844-afebe8ea6eb4","title":"Staff Fullstack Engineer, AI Acceleration Team","slug":"staff-fullstack-engineer-ai-acceleration-team-bbf7616e","description":"Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.\n Staff FullStack Engineer, AI Acceleration Team\n The AI Acceleration Team\n The AI Acceleration Team builds AI features right where identity and agents meet. Companies are handing real access to AI agents faster than their controls can keep up, and two problems show up first: how do you authorize what an agent is allowed to do on someone's behalf, and how do you keep both people and agents from being phished? We take those on directly.\n Our North Star: to get AI right, you have to get identity right. We are a new team, and we shape the problems as much as we solve them. We bring a product mindset to the work: we dig into what customers actually need, define the outcome, and build toward it. We move fast, stay close to the real problem, and are honest about what works.\n The Staff FullStack Engineer Opportunity\n As a Staff FullStack Engineer on the AI Acceleration Team, you will own the technical build for solving agent authorization and phishing resistance. You see what needs doing and start it. This is 0-to-1 work, meaning you will move on problems before they are fully specified, always keeping customer success as the ultimate bar.\n You will help shape which problems we take on, make architectural calls that outlive any single project, and set the technical bar for how we work. You will enforce least privilege for what agents can do and make phishing-resistant access the default. We build with Vercel and AWS, and you will likely work heavily in JavaScript/TypeScript and Java.\n What you'll be doing\n \n Solve core authorization challenges: Define how companies authorize agent actions and enforce least privilege for what an agent can do on a user's behalf.\n Design secure access: Build phishing-resistant authentication and authorization for both people and the agents acting for them.\n Shape the product: Bring a product mindset to dig into what customers need, define the desired outcomes, and build toward them rather than just executing solutions.\n Own the quality bar: Act as the voice for product and quality judgment in the room, taking ownership of the outcome, not just the code.\n Drive technical architecture: Make and defend architectural decisions on distributed systems and complex API integrations that will scale as the work grows.\n Modernize development: Advance how we use AI across our development lifecycle—how we design, review, and ship—and bring the rest of the team along with you.\n Coach and multiply: Raise the technical bar of the entire team, building judgment in others rather than trying to solve everything yourself.\n Improve engineering excellence: Spot and prioritize tech debt, driving improvements beyond feature work (CI/CD, observability, documentation, reliability, and support).\n Stay customer-aware: Build with a clear, direct line to the customer problem and the outcome you're solving for, even if you aren't in every customer conversation.\n \n What you'll bring to the role\n \n A self-starter mentality: The ability to spot what matters, drive work autonomously, and thrive in ambiguity while helping to form a new charter.\n Advanced AI tool proficiency: The ability to apply AI meaningfully across the software development lifecycle, evaluate new tooling with good judgment, and establish practices for the wider team.\n Architectural expertise: Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies, including making decisions with lasting, org-wide impact.\n Security fundamentals: A solid grasp of web authentication and authorization, including how auth flows work and how to secure sensitive user data.\n Backend proficiency: Deep expertise in building reliable, secure, enterprise-grade software in Java or another type-safe language.\n Frontend flexibility: High proficiency in JavaScript/TypeScript with true fullstack range, including the ability to ship robust frontends.\n Cloud infrastructure knowledge: Strong cloud architecture fundamentals, with experience designing and operating large-scale services on AWS.\n \n Extra credit\n \n Background working on a zero-to-one, startup-like team.\n Track record of leading a team through a real shift in how they work (e.g., AI adoption, new developer tooling, or cultural shifts).\n Familiarity with developing Identity and Access Management (IAM) tooling.\n \n P25592\n Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, quali","salary_min":160000,"salary_max":220000,"location":"Toronto, Canada","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["healthcare","distributed-systems","cloud","agents","fullstack"],"apply_url":"https://www.okta.com/company/careers/opportunity/8109399?gh_jid=8109399","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-27T20:41:56Z","expires_at":"2026-09-29T13:39:37.302166Z","created_at":"2026-08-29T13:40:17.273768Z","updated_at":"2026-08-30T13:39:37.440039Z","company_name":"Okta","company_slug":"okta","company_logo_url":"https://www.google.com/s2/favicons?domain=okta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/130278d1-56fd-43d0-bd53-bc36938ae400"},{"id":"a0ece0dd-64f8-4f9f-a035-b435fdcecd46","company_id":"a0000000-0000-0000-0000-000000000009","title":"Senior Full-Stack Engineer (Front-End Leaning), North Admin","slug":"senior-full-stack-engineer-front-end-leanding-north-admin-5a2984a0","description":"Who are we?\n\nCohere is the leading security-first enterprise AI company.  We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.\n\nWe’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.\n\nWe obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.\n\nWe are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!\n\n\n\nAbout North:\n\nNorth https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.\n\n\n\nIn this role, you will:\n\n - Build and ship features for North, our AI workspace platform\n\n - Develop autonomous agents that talk to sensitive enterprise data\n\n - Write and ship minimal code that runs in low-resource environments, and has highly stringent deployment mechanisms\n\n - As security and privacy are paramount, you will sometimes need to re-invent the wheel, and won’t be able to use the most popular libraries or tooling\n\n - Collaborate with researchers to productionize state-of-the-art models and techniques\n   \n   \n\nYou may be a good fit if:\n\n - Have shipped (lots of) fullstack code (Python and React) in production\n\n - You excel in fast-paced environments and can execute while priorities and objectives are a moving target\n\n - You’ve worked in both large enterprises and startups\n\n - You have strong coding abilities and are comfortable working across the stack.\n\n - You’re able to read and understand, and even fix issues outside of the main code base\n\n - You have built and deployed extremely performant client-side or server-side RAG/agentic applications to millions of users.\n\n - Bonus: You love art and have an eye for design and a creative mindset - A plus, if you have a portfolio, GitHub or other showcases of your projects.\n\n\n\nCompensation:\n\n - For candidates based in California, New York and Washington States, the compensation range is: $225,000 – $260,000\n\n - For candidates based elsewhere in the US, the compensation range is: $180,000 – $220,000\n\n - For candidates based in Canada, the compensation range is: $260,000 – $310,000.\n\n\n\n\nFULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:\n\n - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.\n\n - Full health and dental benefits, including a separate budget for mental health.\n\n - RRSP matching, 401K, Pension Scheme.\n\n - 100% Parental Leave top-up for up to 6 months, for either parent.\n\n - Annual enrichment benefits:\n   \n   Arts \u0026 culture, fitness/wellness, quality time, and a workspace improvement credit.\n   \n   Education \u0026 learning stipend for conferences, courses, and coaching.\n\n - 6 weeks of paid vacation (30 working days!)\n\n - Budget for traveling to other offices if you are remote, plus an annual company offsite.\n\n\n\n\nHOW AND WHERE WE WORK:\n\n - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.\n\n - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.\n\n - For those not near an office: a co-working benefit so you can work alongside others in your city.\n\n - Everyone receives a $500 home office stipend to set up your workspace properly.\n   \n   \n\nIf any of the above doesn’t line up exactly with your experience, we still encourage you to apply. \n\n\nWe strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.\n\n\n\nWe may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.\n\n\n\nBeware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with a","salary_min":260000,"salary_max":310000,"location":"Toronto, Canada","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["agents","payments","frontend","fullstack"],"apply_url":"https://jobs.ashbyhq.com/cohere/c12e3636-ed16-47e7-ba1f-82860f88d340/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-21T17:13:00.858Z","expires_at":"2026-09-29T13:32:00.359718Z","created_at":"2026-08-25T18:26:39.521941Z","updated_at":"2026-08-30T13:32:00.501233Z","company_name":"Cohere","company_slug":"cohere","company_logo_url":"https://www.google.com/s2/favicons?domain=cohere.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a0ece0dd-64f8-4f9f-a035-b435fdcecd46"},{"id":"fbd953c7-087c-41ea-bca5-24b67b33e933","company_id":"e8c9f3a5-9310-43f5-9341-321fe6d93a92","title":"Full Stack Software Engineer, Evaluation Tools","slug":"full-stack-software-engineer-evaluation-tools-055de53a","description":"About us    \n Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.\n Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.  In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.\n At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.  \n Make Wayve the experience that defines your career!  \n The role\n The Evaluation Tools group builds the internal products that accelerate the full AI Driver development loop, from defining a test to debugging model behaviour. Model developers, researchers and QA engineers across Wayve depend on our tools to understand driving performance and scale evaluation to millions of scenarios, and every major model release runs through them.\n You'll join the Search \u0026 Agents squad in Sunnyvale. We build the search, scenario mining and agentic tooling that lets anyone find the right driving scenarios and turn them into tests without writing SQL. Our work is the entry point to a fully agentic development loop: identify an issue → mine for scenarios → build and run a test suite → root-cause the failure → retrain → repeat.\n You'll work across the stack and own features end-to-end: talking to users, shaping ideas, building robust software, and validating impact. Evaluation is an evolving challenge, so you'll also have plenty of opportunity to define new projects as user needs emerge.\n Why this role matters \n \n Make natural language scenario search reliable and self-service, so finding test data no longer depends on scarce SQL and mining expertise\n Take scenario mining from proof-of-concept to production scale, unlocking certification-grade test creation for teams like Validation\n Extend the evaluation MCP so agents can run search-to-test workflows end to end\n Build trust in search and mining results, so teams can make fast, confident decisions grounded in clear evidence\n \n Challenges you will own\n \n Build fullstack features across search, scenario mining, agentic tooling, and the web applications our users work in to curate scenarios and build test suites\n Work directly with users to understand pain points, then define and measure what success looks like (adoption, time saved, reliability) before you build\n Ship high-quality software with strong attention to reliability, performance and maintainability\n Contribute to architectural decisions that scale across the team’s products\n Use AI tools to improve how we build, from speeding up development to refining team workflows and product quality\n \n About you\n In order to set you up for success as a Fullstack Software Engineer at Wayve, we're looking for the following skills and experience.\n Essential \n \n Strong development skills in Python, TypeScript, and JavaScript, with experience using React or similar front-end frameworks\n Strong SQL skills with a solid understanding of database design and optimisation\n Experience designing and building production-level fullstack systems and reliable, high-performance APIs\n Track record of building robust, maintainable systems and applying engineering best practices\n Excellent communication and collaboration skills, including working effectively across time zones\n Comfortable working independently in a fast-paced, high-context, ambiguous environment\n You are a power user of AI development tools and have a mindset for building AI-augmented workflows\n \n Desirable \n \n Experience with search, embeddings or retrieval systems\n Experience with the Databricks platform, and large-scale data processing with Spark or similar\n Experience with job orchestration frameworks such as Flyte\n Experience building agentic or LLM-powered developer tools (e.g. MCP servers)\n Experience building tools for technical users (ML, robotics, infrastructure)\n Experience with scientific data visualisation or complex data interfaces This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $209,000 to 266,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from ho","salary_min":209000,"salary_max":266000,"location":"Sunnyvale, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","robotics","agents","generative-ai","autonomous-vehicles","evaluation","fullstack"],"apply_url":"https://wayve.firststage.co/jobs?gh_jid=8733546002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-20T16:28:42Z","expires_at":"2026-09-29T13:43:23.857644Z","created_at":"2026-08-25T18:31:14.236069Z","updated_at":"2026-08-30T13:43:23.988134Z","company_name":"Wayve","company_slug":"wayve","company_logo_url":"https://www.google.com/s2/favicons?domain=wayve.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/fbd953c7-087c-41ea-bca5-24b67b33e933"},{"id":"a76563dc-4214-476a-9d86-c99fd4fbad0c","company_id":"e455f75a-a424-4955-9844-afebe8ea6eb4","title":"Staff FullStack Engineer, Okta Secures AI ","slug":"staff-fullstack-engineer-okta-secures-ai-8b19c968","description":"Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.\n The Okta Secures AI Team \n The Okta Secures AI Team is building the future of digital identity management. The way companies are using agents and allowing them access is undergoing a fundamental shift, enabling teams to move fast while staying secure. \n Our North Star is clear: To get AI right, you have to get identity right. We are not just managing identities; we are building the industry's first Identity Security Fabric for the agentic era. As organizations rapidly deploy AI, these non-human entities are acting with access to critical tools, often bypassing traditional perimeters and creating a 'Shadow AI' crisis. Our mission is to move identity from a reactive gatekeeper to a unified control plane, transforming AI risk into business ROI.\n We are tackling this by implementing a comprehensive four-pillar maturity model: Discover, Onboard, Protect, and Govern. We are driving innovation by defining the standards for Agent Identity—including pioneer work with the AI Agent Tool Registry and support for protocols like MCP and IPSIE. You will be helping us build the infrastructure that allows enterprises to scale AI safely, ensuring every access decision—whether made by a human or an automated agent—is authenticated, authorized, and audited at scale.\n We are a diverse team of engineers, product managers, and designers who are bringing Okta’s expertise in identity to define the future of Agent Identity management, focusing on enablement while staying secure.\n The Staff FullStack Engineer Opportunity \n As a Staff Fullstack Engineer on the Okta Secures AI team, your mission is to build the industry's first Identity Security Fabric for the agentic era. You are the architect of our unified control plane, ensuring that we operationalize our North Star: \"To get AI right, you have to get identity right.\"\n You will lead the technical implementation of our four-pillar maturity model—Discover, Onboard, Protect, and Govern—to provide enterprise-grade visibility and governance for both human and non-human identities. By architecting solutions that move beyond reactive perimeter security, you will empower organizations to prevent \"Shadow AI\" and transform AI risk into business ROI.\n This role requires deep expertise in distributed systems and a commitment to AI-native engineering as our standard. You will rethink backend design, validation, and delivery through AI-augmented workflows, ensuring our platform provides secure, interoperable, and scalable access—enforcing the principle of least privilege for every agent action.\n What you’ll be doing  \n \n Proactively shape the technical strategy of the Identity Security Fabric, partnering with leadership to prioritize open standards like IPSIE.\n Govern and monitor agentic behavior by implementing the four-pillar maturity model across our fullstack ecosystems.\n Architect for the agentic era, ensuring systems can discover and secure all agents, including \"Shadow AI\" assets.\n Enforce secure access and least privilege for agents through capabilities like Agent Gateways and short-lived credentials.\n Drive continual evolution in the adoption of AI-native development practices, helping the team rethink how we design, review, and ship software with AI as a core part of the workflow.\n Proactively identify and prioritize tech debt; drive improvements in areas beyond feature work - CI/CD, observability, documentation, reliability, and support processes.\n Partner with Product and Design to understand and own the desired customer outcome, not just the technical deliverable.\n Actively invest in the growth of peer engineers, taking responsibility for raising the technical bar of the team as a whole.\n \n What you’ll bring to the role \n \n Operates well beyond basic AI tool usage - understands how to apply AI meaningfully across the full software development lifecycle, can evaluate and adopt new AI tooling with good judgment, and is able to establish practices and bring a team along.\n Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies - including the ability to make and defend architectural decisions with lasting org-wide impact.\n Solid understanding of web authentication and authorization fundamentals - how auth flows work, and best practices for securing sensitive user data.                                                                  ","salary_min":160000,"salary_max":220000,"location":"Toronto, Canada","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["distributed-systems","agents","healthcare","fullstack"],"apply_url":"https://www.okta.com/company/careers/opportunity/8120329?gh_jid=8120329","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-17T19:47:45Z","expires_at":"2026-09-29T13:39:37.400183Z","created_at":"2026-08-25T18:29:14.485724Z","updated_at":"2026-08-30T13:39:37.536738Z","company_name":"Okta","company_slug":"okta","company_logo_url":"https://www.google.com/s2/favicons?domain=okta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a76563dc-4214-476a-9d86-c99fd4fbad0c"},{"id":"8901ff8d-733a-4cd4-8657-ca287e37cc7a","company_id":"a0000000-0000-0000-0000-000000000009","title":"Senior Full-Stack Engineer, North Tools \u0026 Retrieval","slug":"senior-full-stack-engineer-north-tools-retrieval-fb589d77","description":"Who are we?\n\nCohere is the leading security-first enterprise AI company.  We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.\n\nWe’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.\n\nWe obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.\n\nWe are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!\n\n\n\nAbout North:\n\nNorth https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.\n\n\nWhy this role:\n\nThe Data Abstractions \u0026 Tools team is the group inside North responsible for how users bring their data into the platform and put it to work. We own the systems that let users upload, organize, and share their files and knowledge bases, the framework for extending agents with skills and third-party integrations, and the data-sync pipeline that connects enterprise data sources to North's agents.\n\nWe are a small team owning a wide surface area, and we need a senior generalist who can move freely across backend and frontend as the roadmap demands. You will pick up any layer of a feature, from API design and database schema to the frontend that sits on top of it, and own it end-to-end.\n\n\nIn this role, you will:\n\n - Design, build, ship, and maintain features across the full stack for our roadmap surfaces: large-scale file upload and management, shared knowledge bases, the agent extensibility framework (skills and integrations), and the pipeline that syncs external enterprise data into the platform.\n\n - Own features end-to-end, from technical design through implementation, testing, launch, and iteration.\n\n - Write and ship minimal code that runs in low-resource environments with stringent deployment mechanisms. As security and privacy are paramount, you will sometimes need to re-invent the wheel and won't be able to use the most popular libraries or tooling.\n\n - Collaborate closely with Product, UX, and the modeling team to validate requirements and prototype quickly.\n\n - Raise the engineering bar: patterns, testing discipline, code review, and mentoring across the team.\n\n - Use AI actively in your work, while staying accountable for the quality and reliability of what you ship.\n\n\n\nYou may be a good fit if:\n\n - Have shipped (lots of) fullstack code (Python and React) in production\n\n - You excel in fast-paced environments and can execute while priorities and objectives are a moving target\n\n - You have strong coding abilities and are comfortable working across the stack.\n\n - You have built and deployed extremely performant client-side or server-side RAG/agentic applications to millions of users.\n\n - You think like a product owner, not just an engineer. You ask \"should we build this?\" before \"how do we build this?\"\n\n - You have strong opinions on what makes a great user experience and aren't afraid to push back on designs or specs that don't serve the user.\n\n - You've owned features end-to-end: from understanding the user problem, to shipping, to measuring impact.\n\n\n\nWorking Location:\n\nThis role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.\n\nCompensation:\n\n - For candidates based in California, New York and Washington States, the compensation range is: $215,000 – $260,000\n\n - For candidates based elsewhere in the US, the compensation range is: 180,000 – $220,000\n\n - For candidates based in Canada, the compensation range is: $260,000 – $310,000\n\n\n\n\nFULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:\n\n - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.\n\n - Full health and dental benefits, including a separate budget for mental health.\n\n - RRSP matching, 401K, Pension Scheme.\n\n - 100% Parental Leave top-up for up to 6 months, for either parent.\n\n - Annual enrichment benefits:\n   \n   Arts \u0026 culture, fitness/wellness, quality time, and a workspace improvement credit.\n   \n   Education \u0026 learning ","salary_min":260000,"salary_max":310000,"location":"Toronto, Canada","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["agents","api-design","payments","fullstack","evaluation"],"apply_url":"https://jobs.ashbyhq.com/cohere/6ebac60b-0758-4bb8-8299-44328d4926cb/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-11T10:29:11.067Z","expires_at":"2026-09-29T13:31:59.690737Z","created_at":"2026-08-25T18:26:39.48938Z","updated_at":"2026-08-30T13:31:59.830744Z","company_name":"Cohere","company_slug":"cohere","company_logo_url":"https://www.google.com/s2/favicons?domain=cohere.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8901ff8d-733a-4cd4-8657-ca287e37cc7a"},{"id":"ff5fbb82-779d-4df0-a414-4a23ff8397cb","company_id":"6ea0f41a-b13e-481a-b410-5195f391f939","title":"Senior Product Engineer, Fullstack","slug":"senior-product-engineer-fullstack-9bbf621c","description":"About the Role \n Together AI's product is what developers touch every day — Playground, Model Garden, Fine-Tuning, File Management, Batch Processing, Model Evals. These surfaces are how users experience the platform, and they need to be fast, intuitive, and something developers genuinely love using. That's what this role is about.\n We're growing the Product Engineering team and looking for a fullstack engineer who's motivated by shipping things users genuinely value — not features that just look good in a slide deck. You'll plug directly into new and existing workstreams and start shipping quickly, working across our core product surfaces to improve existing capabilities and build new ones.\n This is a high-ownership role on a small, fast-moving team, where one strong engineer moves the needle visibly. You'll see your work in production, instrument and measure it, and use that to shape what comes next.\n Responsibilities \n \n Ship improvements and new capabilities across Together AI's core product surfaces — Playground, Model Garden, Fine-Tuning, File Management, Batch Processing, and Model Evals\n Own projects and features end-to-end, from data model and API integration through the user interface\n Collaborate closely with other engineers to build clean, typed, reusable interfaces in our web application\n Instrument and measure what you ship — add product analytics, monitor system health, and prove users are getting value with data\n Work across design, product, and engineering to ship things that unlock user value\n Raise the bar on frontend and fullstack quality across the team through code review and collaborative architecture decisions\n \n Requirements \n \n 4–7 years of experience building and shipping real product to real users\n Strong JavaScript/TypeScript fundamentals; TypeScript experience highly valued\n Strong React expertise in a large-scale, production environment\n Full-stack fluency: you connect the dots from data model to API design to state management to the UI, and know how to make the right call at each layer in service of clean, maintainable code and an intuitive user experience\n A pragmatic approach to engineering — you know when to move fast and when to slow down, and you make that call based on user value\n Curiosity about AI and LLMs — you want to understand the models and products you're building on top of, not just the code around them\n Adept at building and improving agentic workflows, with good judgment for when to lean on AI and when not to\n Cross-functional \"we ship it\" mentality — no narrow ownership, no finger-pointing\n Next.js, Tailwind, and shadcn/ui experience is a plus\n Familiarity with product analytics (e.g., Amplitude) and systems monitoring (e.g., Grafana) is a plus\n Experience with CI/CD workflows is a plus\n Experience with a backend language like Go or Python\n \n  \n About Together AI \n Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.\n Compensation \n We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - 230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\n Equal Opportunity \n Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\n Please see our privacy policy at https://www.together.ai/privacy .","salary_min":160000,"salary_max":230000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","llm","agents","fine-tuning","fullstack"],"apply_url":"https://job-boards.greenhouse.io/togetherai/jobs/5192898007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-27T21:04:54Z","expires_at":"2026-09-29T13:32:21.960971Z","created_at":"2026-07-28T14:02:13.100596Z","updated_at":"2026-08-30T13:32:22.101894Z","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/ff5fbb82-779d-4df0-a414-4a23ff8397cb"},{"id":"6a8000aa-7a8f-49cc-83f9-4af66972cf36","company_id":"3029e985-56bf-4ac2-9ae1-df4cdd53b12f","title":"Sr. Staff Software Engineer (Full-Stack)","slug":"sr-staff-software-engineer-full-stack-33c1c6ae","description":"About Zscaler \n Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.\n Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession , collaboration, ownership, and accountability.\n We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.\n    \n Role  \n We are looking for a Sr. Staff Software Engineer (Full-Stack) to join our team. This is a Hybrid (San Jose, CA) role, reporting to the Director, Software Engineering, AI Security in the AI Guard department. We are seeking a talented, high-energy team player to help develop cutting-edge AI security products. This is a greenfield opportunity to define and build a new class of market-defining products. As a member of this growing team, you will share responsibility for ensuring the Zscaler service remains reliable, scales efficiently, and offers a delightful experience to our customers.\n What you’ll do (Role Expectations) \n \n Lead the design and delivery of full-stack features spanning React-based UI, Spring Boot microservices, REST APIs, event-driven Kafka services, and cloud-native infrastructure on AWS and Kubernetes\n Architect flexible, reusable UI components and establish patterns that scale across the platform\n Set technical direction in collaboration with backend engineers, UX designers, and product managers to ensure end-to-end solution quality and user experience\n Own logging, observability, and infrastructure concerns at a platform level, not just feature level\n Mentor engineers, conduct code reviews, and drive engineering standards across the team\n \n Who You Are (Success Profile) \n \n You thrive in ambiguity and are comfortable building the path as you walk it, viewing dynamic environments as raw material to construct something meaningful.\n You act like an owner with a strong bias for action, navigating seamlessly between high-level strategy and hands-on execution.\n You are an energized problem-solver who seeks out complex technical challenges to deliver high-impact solutions.\n You operate with urgency and a relentless focus on execution, delivering high-quality, impactful results quickly for the team and customer.\n You are driven by innovation, deeply curious about how technology works, and constantly seeking scalable, secure ways to accelerate transformation.\n \n What We’re Looking for (Minimum Qualifications) \n \n Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving\n 6+ years building enterprise-grade solutions, with a strong emphasis on spec-driven development workflows using AI coding assistants like Claude or Gemini\n Proficiency in Java with hands-on experience in Spring Boot, as well as strong JavaScript/TypeScript skills building single-page applications with ReactJS and state management libraries like Recoil\n Experience designing and consuming REST APIs in a microservices architecture, alongside experience with event-streaming platforms like Kafka\n Experience with HTML5, CSS3, and modern CSS frameworks like Tailwind CSS\n Familiarity with containerized deployments on Kubernetes and core AWS services\n \n What Will Make You Stand Out (Preferred Qualifications) \n \n Experience with PostgreSQL, Elasticsearch, security or networking products, or visualization tools like D3.js or Next.js\n Unit testing experience with React Testing Library, Jest, Mocha, or Chai\n Familiarity with JavaScript build tooling such as Webpack or Vite\n \n #LI-YC2 #LI-Hybrid\n Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related ","salary_min":157500,"salary_max":225000,"location":"San Jose, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["microservices","cloud","fine-tuning","data-pipeline","api-design","search","security","fullstack"],"apply_url":"https://job-boards.greenhouse.io/zscaler/jobs/5181723007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-22T21:30:03Z","expires_at":"2026-09-29T13:39:55.680485Z","created_at":"2026-07-24T14:09:18.701481Z","updated_at":"2026-08-30T13:39:55.814918Z","company_name":"Zscaler","company_slug":"zscaler","company_logo_url":"https://www.google.com/s2/favicons?domain=zscaler.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/6a8000aa-7a8f-49cc-83f9-4af66972cf36"},{"id":"2e48eabd-8acf-4dc6-94f3-86f168c750a2","company_id":"11211527-9d36-43fc-9a9f-620a2432bb93","title":"Senior AI Full-Stack / Applications Engineer","slug":"senior-ai-full-stack-applications-engineer-11efaa57","description":"Who We Are \nAt OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.\n  \n \n \n About the Opportunity \n OKX’s Internal Audit function has an early-stage, working AI-native capability: live dashboards, agentic workflows, and AI-powered apps that let a very small team punch far above its weight. Your job is not to rebuild it at today’s maturity. Your job is to take it to a regulator-grade production standard and well beyond , and to drive AI Enablement across the department. You own the products people touch: the real-time dashboards that drive Chief Audit Executive and board reporting , the computer-assisted audit technique (CAAT) and continuous-monitoring surfaces auditors work from, and the agentic, AI-powered apps that make the team faster, and you get auditors to adopt them. You build on the platform’s runtime and harness rather than reinventing them. We hire on demonstrated building , not on claims or credentials. We expect you to be more capable than the hiring manager in your domain: you will co-own and challenge the tooling strategy, not just implement it. This is a two-person engineering team: you deploy, debug, and hotfix your counterpart’s stack when needed.\n  \n  \n What You’ll Be Doing \n Environment \n Cloud on AWS or GCP . Claude as the starting point in a deliberately multi-model architecture: Anthropic, OpenAI, Google, using the right model for each job, including plugins you build. Google Workspace for reporting and evidence. JIRA for the audit team’s workflow. Lark for team communications and alert bots. Today’s executive product ships largely as API-rendered Google Docs/Slides and branded PDF; you evolve that toward real applications without dropping the document standard. React / Next.js front-end, with testing and observability throughout. Treat this stack as the starting point, not a constraint: you build production-grade products end to end on what exists today, and you are expected to propose, prove, and adopt better tools as demand and capabilities evolve.\n \n In your first year \n \n A live, real-time Chief Audit Executive and board dashboard is in use for actual reporting.\n CAAT and continuous-monitoring surfaces are used by auditors in multiple real audits, with full-population testing live in at least two audit domains.\n Agentic, human-in-the-loop applications are part of the team's standard workflow: several in production, adoption measured and growing, and at least two demonstrably cutting cycle times, one in audit reporting and one in a board-cycle deliverable.\n The hiring manager is out of the delivery loop for dashboards, reports, and rendering pipelines: each has a runbook and an owner who is not him.\n \n How we assess demonstrated building \n We assess demonstrated building in ways that respect your time and your confidentiality obligations to current and former employers: a portfolio deep-dive (walk us through applications you built and kept running, at the level of detail your obligations allow; we want architecture, decisions, and trade-offs, never proprietary code, data, or documents), a short, time-capped build exercise on a synthetic dataset unrelated to OKX's business (a live dashboard with drill-through, used for assessment only, never put to use by OKX, and the work remains yours) that you defend live, walking us through your design decisions and extending it on the spot, a working session on how you drove adoption with non-technical users, and references focused on whether you built and maintained applications in production.\n Trust and compliance \n This role handles highly sensitive audit data at a global crypto exchange. Expect background checks, confidentiality obligations, and personal-trading and material-non-public-information restrictions consistent with OKX policy. \n \n  \n What We Look For In You \n \n 6+ years building and maintaining full-stack web applications in production, owning them over time.\n Strong engineering fundamentals : data structures and algorithms, fluent Python (or a comparable backend language), and strong SQL and data modeling . True full-stack : from the data layer and SQL through resilient APIs to the UI, wired into the cloud (AWS or GCP).\n Strong ","salary_min":178000,"salary_max":321000,"location":"San Jose, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","agents","computer-graphics","cloud","healthcare","fullstack"],"apply_url":"https://job-boards.greenhouse.io/okx/jobs/7813272003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-22T21:01:59Z","expires_at":"2026-09-29T13:42:37.047229Z","created_at":"2026-07-24T14:12:12.68589Z","updated_at":"2026-08-30T13:42:37.179639Z","company_name":"OKX","company_slug":"okx","company_logo_url":"https://www.google.com/s2/favicons?domain=okx.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2e48eabd-8acf-4dc6-94f3-86f168c750a2"},{"id":"cec41a2d-61db-466d-97a8-9cfca9b8f6dd","company_id":"a0000000-0000-0000-0000-000000000003","title":"Staff Software Engineer, Full Stack - Gen AI ","slug":"staff-software-engineer-full-stack-gen-ai-014fb300","description":"Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.\n This is a horizontal, high-impact L6 Staff Fullstack Engineer \u0026 Architect position reporting directly to the Director of Contributor Engineering.\n Instead of being tied to a single domain, your scope is spread across all Contributor (CB) teams (including Allocation, Growth,  Trust \u0026 Safety, Pay, and Allocations). Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.\n You will act as an organizational architect and tech lead, dynamically embedding yourself into the highest-priority projects across the org to guarantee execution, unblock teams, and successfully ship mission-critical initiatives. Concurrently, you will lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native.\n You will:\n \n Deploy flexibly into critical, fast-moving product initiatives across the CB organization\n Lead the architectural overhaul of our platform infrastructure, making it highly sustainable, robust, and optimized for deep integration with LLMs and foundation models.\n Lead architecture decisions for scalability, reliability, and performance\n Mentor and uplevel engineers across the team\n Partner with product and leadership to shape roadmap and priorities\n Own large, ambiguous problem spaces end-to-end\n Work across backend, frontend, and ML systems\n \n Ideally you'd have: \n \n 7+ years of full-time engineering experience, post-graduation, with a proven track record of operating as a Tech Lead, Architect, or Principal Engineer.\n Track record of shipping high-quality products and features at scale\n Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies\n Proficient in Javascript/Typescript, and SQL\n Experience with Kubernetes\n Experience with major cloud providers (AWS, Azure, GCP)\n Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. \n Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:\n $252,000 — $315,000 USD \n PLEASE NOTE:  Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. \n About Us: \n At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst \u0026 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. \n We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  \n We are committed to wor","salary_min":252000,"salary_max":315000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","reinforcement-learning","embeddings","generative-ai","fullstack"],"apply_url":"https://job-boards.greenhouse.io/scaleai/jobs/4713608005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T18:54:54Z","expires_at":"2026-09-29T13:31:48.88549Z","created_at":"2026-07-10T14:01:27.296205Z","updated_at":"2026-08-30T13:31:49.029308Z","company_name":"Scale AI","company_slug":"scale-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=scale.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/cec41a2d-61db-466d-97a8-9cfca9b8f6dd"},{"id":"81392512-84d3-4036-91ff-d2caaa3329d7","company_id":"3da82454-107f-427f-88e7-01f315ef93fb","title":"Member of Technical Staff - Full Stack Software Engineer","slug":"member-of-technical-staff-full-stack-9e4ea40d","description":"OWN YOUR INTELLIGENCE\n\n\n\nPrime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. \n\n\n\nOur platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.\n\n\n\nPrime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.\n\n\n\n\nROLE IMPACT\n\nThis is a generalist software engineering role focused on building the product surface of Prime Intellect - the developer-facing platform, APIs, and services that researchers and engineers around the world use to train and deploy frontier models. You'll own features end-to-end, from design through deployment and monitoring, and ship at the pace of an early-stage company tackling one of the most important problems in AI. \n\n\n\n\nCORE RESPONSIBILITIES\n\n - Build intuitive web interfaces for AI workload management and monitoring\n\n - Develop REST APIs and backend services in Python\n\n - Own features end-to-end, from design through deployment and operation\n\n - Create real-time monitoring and debugging tools for users of the platform\n\n - Implement user-facing features for resource management and job control\n\n - Deploy and operate services on cloud infrastructure\n\n - Contribute to internal tooling, automation, and developer experience improvements \n   \n   \n\n\nTECHNICAL REQUIREMENTS\n\n - Strong Python backend development (FastAPI, async)\n\n - Modern frontend development (TypeScript, React/Next.js, Tailwind)\n\n - Experience building developer tools, dashboards, or platform products\n\n - RESTful API design and implementation\n\n - Comfortable working with cloud platforms (GCP a plus) and containerized deployments\n\n - A bias toward shipping, ownership of production code, and pragmatic engineering judgment\n\n - Infrastructure automation experience (Ansible, Terraform, Kubernetes)\n\n\n\n\nNICE TO HAVE\n\n - Interest in or exposure to ML/AI workloads\n\n - WebSocket / real-time systems experience\n\n - Open-source contributions\n\n - Observability tooling (Prometheus, Grafana)\n\n - Prior experience at an early-stage startup\n   \n   \n\n\nWHAT WE OFFER\n\n - Cash compensation range of $150–300k with significant equity incentives\n\n - Flexible work arrangement (remote or San Francisco office)\n\n - Full visa sponsorship and relocation support\n\n - Professional development budget for courses and conferences\n\n - Regular team off-sites and conference attendance\n\n - Opportunity to shape the future of open AI development \n   \n   \n\n\nGROWTH OPPORTUNITY\n\nYou'll join a team of experienced engineers and researchers working on cutting-edge problems in AI infrastructure. We believe in open development and encourage team members to contribute to the broader AI community through research and open-source contributions.\n\nWe value potential over perfection - if you're a strong generalist engineer who is passionate about democratizing AI development, we want to talk to you.\n\nReady to help shape the future of AI? Apply now and join us in our mission to make powerful AI models accessible to everyone.","salary_min":150000,"salary_max":300000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","agents","api-design","fullstack"],"apply_url":"https://jobs.ashbyhq.com/PrimeIntellect/c074bdd9-bee2-4ee9-ae03-aa8f7537682c/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T18:45:08.431Z","expires_at":"2026-09-29T13:40:20.765373Z","created_at":"2026-04-13T15:01:32.563487Z","updated_at":"2026-08-30T13:40:20.91213Z","company_name":"Prime Intellect","company_slug":"PrimeIntellect","company_logo_url":"https://www.google.com/s2/favicons?domain=primeintellect.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/81392512-84d3-4036-91ff-d2caaa3329d7"},{"id":"51b69e5f-b259-4b73-b300-00d048262367","company_id":"7455e78c-482b-4f7b-9d62-11b78645818a","title":"Software Engineer II - Full Stack","slug":"software-engineer-ii-full-stack-4a15f69d","description":"About the Role \n At Abnormal AI, our mission is to protect the world’s largest enterprises from advanced email and collaboration attacks. The Threat Narrative team transforms complex signals from our detection systems into clear, actionable stories that help customers understand the attacks we stop and the value of our platform.\n As a Software Engineer, Fullstack on the Threat Narrative team, you will help build the next generation of email-centric narrative experiences across Email Details and Threat Narrative views, with a focus on clearly communicating Abnormal detections to customers. You will work closely with GenAI and LLM-powered systems that distill thousands of low-level detection features and signals into concise, trustworthy explanations that customers can immediately act on. You will implement fullstack features end-to-end, from backend APIs and data contracts through to performant, intuitive UIs in the customer portal and internal tools that surface these explanations in the right context. Your work will directly shape how customers perceive Abnormal’s detection quality and how they reason about threats at scale. This role is ideal for an engineer who enjoys owning well-scoped systems, learning from senior partners, and combining strong engineering fundamentals with product intuition and storytelling.\n What you will do  \n \n Design and implement fullstack features across Threat Narrative and Email Details surfaces, including customer portal components, internal analyst tools, and QBR-facing outputs, with guidance from senior engineers.\n Implement and evolve APIs and services that generate enriched narratives from attack data, enrichment signals, and GenAI/LLM agents, following established contracts and patterns.\n Contribute to data models and explainability contracts that make complex threat decisions more understandable to customers and internal analysts.\n Write high-quality, well-tested Python/Django and React/Typescript code, focusing on correctness, performance, and maintainability.\n Participate in owning SLAs/SLOs, observability, and incident response for Threat Narrative and Email Details services by building and improving dashboards, alerts, and runbooks in the areas you own.\n Collaborate closely with Product, CS, GTM, Threat Intel, Detection, and DS partners to ensure narrative experiences clearly communicate attack context, value, and outcomes for customers.\n Engage in design and code reviews, learn from more senior engineers, and surface opportunities to simplify, derisk, and improve existing systems.\n \n   \n Must Haves \n \n 2+ years of professional, production-level software engineering experience, with a track record of shipping and operating fullstack web applications in cloud-native environments.\n Proficiency in Python and Django (or a similar backend framework), and comfort working with Postgres or similar relational databases.\n Experience building modern frontend applications with React and Typescript, including data-heavy or workflow-centric UIs.\n Ability to design and work with well-structured APIs and data models for data-intensive applications, with attention to correctness and evolvability.\n Experience using metrics, logging, and tracing to debug production issues and understand user behavior in at least one prior system.\n Strong collaboration and communication skills, including working effectively with Product and partner engineering teams to translate requirements into clear technical tasks.\n Experience with AI development tools.\n Bachelor’s degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience.\n \n   \n Nice to Have  \n \n Experience building or integrating LLM/GenAI-powered features (e.g., prompt design, simple agents, or explainability) in production or pre-production systems.\n Familiarity with cybersecurity data, threat intelligence, or detection systems, especially in the context of email and collaboration security.\n Exposure to big data and batch processing technologies (e.g., Spark, Databricks, Airflow, Kafka) used to power analytics, narratives, or offline enrichment.\n Experience collaborating on multi-team initiatives and contributing to shared components, data contracts, or cross-surface UX.\n \n #LI-ML1\n  \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 mad","salary_min":149200,"salary_max":214500,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"junior","tags":["security","generative-ai","llm","fullstack"],"apply_url":"https://abnormal.ai/careers/jobs/7786309003?gh_jid=7786309003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-30T19:33:16Z","expires_at":"2026-09-29T13:34:22.850635Z","created_at":"2026-07-01T14:03:44.61491Z","updated_at":"2026-08-30T13:34:22.985918Z","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/51b69e5f-b259-4b73-b300-00d048262367"},{"id":"87db4a95-7779-4faa-a496-71dde0a13f68","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Senior Fullstack Engineer, Growth \u0026 Monetization","slug":"senior-fullstack-engineer-growth-monetization-ba28938b","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Team\n\nThe Growth \u0026 Monetization team focuses on how developers discover, adopt, and scale with LangChain’s products. We work across the full stack to improve onboarding, activation, and usage while building the systems that power billing, pricing, and monetization. This team partners closely with product, design, and go-to-market teams to understand developer behavior and translate those insights into product improvements that drive adoption and revenue. Our work directly shapes how developers and organizations move from experimentation to production on the LangChain platform.\n\n\n\nAbout the role\n\nLangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City, San Francisco, or Boston.\n\n\n\nWhat you'll do\n\n - Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retention\n\n - Build flexible experimentation systems and processes capable of targeting diverse growth metrics\n\n - Participate in data-driven, rapid growth experiments across the user funnel from onboarding to monetization\n\n - Design and ship new onboarding features and improvements that accelerate time to value\n\n - Build growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAs\n\n - Collaborate closely with product, design, GTM, and analytics teams to identify, prioritize, and execute high-impact growth opportunities\n\n\n\nWhat you'll bring\n\n - Extensive fullstack software development experience using React, TypeScript, and Go and/or Python\n\n - Strong product intuition and a track record of working on monetization, pricing, or activation features\n\n - Familiarity with usage metering, subscriptions, and internal tooling for pricing experiments\n\n - Comfortable working with REST APIs, Postgres, Redis, and modern backend infra\n\n - Startup DNA with the ability to thrive in fast-paced, zero-to-one environments\n\n - Self-directed with an ownership mindset\n\n - Bonus: Experience building for developers or product-led growth platforms\n\n - Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks\n\n\n\nCompensation\n\n - Salary Range: $175,000-$240,000 USD \n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.","salary_min":175000,"salary_max":240000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","generative-ai","agents","payments","llm","fullstack"],"apply_url":"https://jobs.ashbyhq.com/langchain/f07bfbad-6daf-4b11-b5bb-2c3bbc47c53c/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-10T21:02:36.17Z","expires_at":"2026-09-29T13:32:13.868747Z","created_at":"2026-06-28T14:01:58.218965Z","updated_at":"2026-08-30T13:32:14.015955Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/87db4a95-7779-4faa-a496-71dde0a13f68"},{"id":"0dc3ddfd-5ca1-4212-b3e0-4420bb5db8d5","company_id":"cdfdd46b-1613-4bc5-8d9b-0da22cf3f094","title":"Growth Engineer (Full Stack)","slug":"growth-engineer-full-stack-c454efa7","description":"Growth Engineer (North America)\n\n\n\n🎯 About the Role\n\nWe're looking for a Growth Engineer to be the engineering counterpart to our Growth PM — the person who actually ships the onboarding flows, paywalls, experiments, instrumentation, and lifecycle integrations that move our most important numbers. You'll write production code across our full stack, but your unit of work isn't \"tickets\" — it's user activation, free-to-paid conversion, retention, and channel-level efficiency.\n\nThis is a high-leverage moment to join. We grew revenue 7x last year, we're launching OpenArt Director (our new \"vibe directing\" category), and we're expanding into Brazil, India, and Europe. The growth surface area is enormous and almost none of it has been seriously engineered yet.\n\nYou'll sit with the Growth PM, the Growth Designer, and our marketing and lifecycle leads — in person, in the Bay Area — and report into the founders.\n\n\n🎨 ABOUT OPENART\n\nOpenArt is a leading AI Creative Platform for visual storytelling, used by millions worldwide. We're building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, images, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we're shaping that future.\n\n\n🚀 WHY JOIN OPENART\n\n - Real growth leverage. Millions of users, fast-growing revenue, and a paywall and onboarding that haven't been seriously engineered yet. Big numbers to move.\n\n - You ship, not spec. Growth Engineering at OpenArt is a builder role. You own features end to end — design partnership, code, experiment readout, follow-up.\n\n - Category-defining product launches. OpenArt Director, global expansion, and new model capabilities — all need a growth engineer from day one.\n\n - Hyper-growth and huge market opportunity. OpenArt is growing fast (7x revenue growth last year) and is one of the leaders in an exploding new product category.\n\n - High ownership, low process. We value judgment, clarity, and speed over bureaucracy.\n\n - Founder-led engineering culture. Both founders are technical and deeply involved in product and architecture. You'll get sharp code review and real engineering partnership at the top.\n\n\n🧩 REQUIREMENTS\n\n - 4+ years of full-stack product engineering at a consumer or pro-sumer company, with at least some of that time embedded with a growth, monetization, or onboarding team\n\n - Strong with our stack or close adjacents: TypeScript, Next.js, React, Node, Postgres, running on a major cloud (we're on Google Cloud Platform)\n\n - You've shipped paywalls, pricing experiments, onboarding flows, or lifecycle integrations that moved a real number — and you can walk through the implementation choices and what you learned\n\n - Comfortable owning a feature end to end: schema, backend, frontend, instrumentation, experiment setup, rollout, and post-launch iteration\n\n - Solid instrumentation instincts. You know how to design events that survive contact with a real funnel analysis six months later, and you've worked with tools like Amplitude, Stripe, Meta Pixel, Meta Conversions API (CAPI), and Google Analytics 4 (GA4)\n\n - Comfortable in data analysis — you can pull your own numbers and don't wait for someone else to confirm whether your experiment moved the metric\n\n - Strong product instincts. You can look at a funnel, talk to a few users, and form your own view on what to build next — and push back when the spec is wrong\n\n - Bias to speed. You'd rather ship a clean V1 behind a flag today than a perfect V3 in three weeks\n\n - Demonstrate an AI-native approach to daily workflows by effectively leveraging AI tools to improve productivity, creativity, and decision-making.\n\n\n🌟 NICE TO HAVE\n\n - Experience with experimentation platforms (such as LaunchDarkly)\n\n - Stripe depth — subscriptions, webhooks, invoicing, customer portal, Adaptive Pricing, and the joys of off-cycle charges\n\n - Attribution work — Meta CAPI with deduplication, server-side events, post-purchase surveys, position-bias-aware survey design\n\n - Lifecycle tooling — Customer.io http://Customer.io, Iterable, Braze, or similar, and the data-pipeline work behind them\n\n - Programmatic Search Engine Optimization (SEO) — generating large numbers of high-quality landing pages from structured data, and the headless content management system (CMS) work that goes with it (Strapi or similar)\n\n - Internationalization (i18n), regional payment integrations (Pix, UPI, KOMOJU, TapPay, ECPay), and the realities of shipping to non-English markets\n\n - Background in consumer AI or generative AI products\n\n - Creative tools / design software background (Adobe, Canva, Figma, or adjacent)\n\n - You've been an early growth engineering hire before and know how to build the function as you go\n\n\n🛠 WHAT YOU'LL DO\n\n - Make onboarding the strongest part of the funnel. Build per-channel onboarding where it matters — different flows for paid, o","salary_min":300000,"salary_max":400000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["search","generative-ai","payments","fullstack"],"apply_url":"https://jobs.ashbyhq.com/openart/cb062472-a1b3-4156-9c43-16675bd5d528/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-05T05:22:29.433Z","expires_at":"2026-09-29T13:51:10.178045Z","created_at":"2026-05-15T14:21:40.328316Z","updated_at":"2026-08-30T13:51:10.304771Z","company_name":"OpenArt","company_slug":"openart","company_logo_url":"https://www.google.com/s2/favicons?domain=openart.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0dc3ddfd-5ca1-4212-b3e0-4420bb5db8d5"},{"id":"30d8f444-7af0-4761-9670-d9133ee1e7bb","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Staff Fullstack Engineer, Agentic Applications","slug":"staff-fullstack-engineer-agentic-applications-f3bb9a2c","description":"P-1477\n Databricks is transforming how it builds and operates People Technology — moving from traditional SaaS configuration toward an AI-native, agentic stack. You'll be the technical anchor of the People Tech pod, driving the architectural shift from workflow automation to autonomous, multi-agent systems that power HR, recruiting, workforce analytics, and employee experience at scale. This is a rare opportunity to reimagine a critical enterprise domain from the ground up using the very data and AI platform Databricks sells to the world.\n What you'll do \n \n Architect and build agentic systems that automate and augment People Tech workflows — onboarding, offboarding, comp analysis, policy Q\u0026A, HR service delivery — using LLM orchestration frameworks (LangGraph, AutoGen, or equivalent).\n Define the agentic platform strategy for the pod: agent design patterns, tool-calling conventions, retrieval-augmented pipelines, evaluation frameworks, and human-in-the-loop guardrails.\n Integrate People Tech systems (Workday, Greenhouse, ADP etc.) as agent-accessible tools and data sources via Databricks Unity Catalog and MCP-style interfaces.\n Set the technical bar for the pod — reviewing designs, establishing engineering standards, and leading architectural reviews across the People Tech roadmap.\n Influence peers and stakeholders: translate agentic capability into business outcomes for People, Legal, and Finance partners, and mentor engineers in the pod on AI-first thinking.\n \n What we're looking for \n \n 8+ years of software engineering experience, with at least 2 years building production LLM or agentic applications (agents, RAG pipelines, tool-use, multi-agent orchestration).\n Deep fluency in Python and experience with agentic frameworks — LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.\n Strong command of enterprise integration patterns: REST/GraphQL APIs, event-driven architecture, and connecting SaaS HR/HCM platforms programmatically.\n Experience with data platforms — Databricks, Spark, or equivalent — and building AI applications on top of lakehouse or warehouse architectures.\n Track record as a technical lead: driving architectural decisions, writing RFCs, and raising the quality bar across a team without relying on management authority.\n \n Nice to have \n \n Prior experience in People Tech, HR tech, or internal tooling domains.\n Familiarity with Workday, Greenhouse or similar enterprise HR platforms — especially via API or integration layer.\n Experience evaluating and red-teaming LLM agents for safety, reliability, and correctness in sensitive business contexts.\n  \n Pay Range Transparency \n Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . \n  \n Local Pay Range\n $192,000 — $260,000 USD \n About Databricks \n Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT\u0026T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . \n Our Commitment to Diversity and Inclusion \n At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\n Compliance \n If access to export-controlled technology or source code is required for performance o","salary_min":192000,"salary_max":260000,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["api-design","agents","llm","rag","fullstack"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8220840002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-04T17:25:54Z","expires_at":"2026-09-29T13:32:34.028772Z","created_at":"2026-06-28T14:02:14.932404Z","updated_at":"2026-08-30T13:32:34.17007Z","company_name":"Databricks","company_slug":"databricks","company_logo_url":"https://www.google.com/s2/favicons?domain=databricks.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/30d8f444-7af0-4761-9670-d9133ee1e7bb"},{"id":"f18a9045-c453-4617-84c9-63c285e45fbc","company_id":"65bce624-56a0-4c48-8e69-eda588090849","title":"Full Stack Engineer, AgentControl","slug":"full-stack-engineer-agentcontrol-9ca8eb11","description":"About the Job: \n As a Full Stack Engineer on LaunchDarkly’s AgentControl team, you'll build critical systems such as the web application that customers interact with on a daily basis and distributed systems that power AI evaluations at scale. These systems enable customers to control, monitor, and optimize their agent’s functionality. You’ll primarily work in Go, Python, and TypeScript and will work directly with other technologies and tools such as AWS, CockroachDB, Datadog, DeepEval, and FastAPI.\n LaunchDarkly’s AgentControl team is on a mission to manage the complete software development lifecycle for shipping agents to production, from configuring to benchmarking to observing and beyond. AgentControl enables teams to adjust agent behavior without needing a redeploy or code change, while also running experiments, monitoring agents in production, and putting guardrails around AI as usage scales. The product spans offline evals, real-time observability, prompt and workflow optimization, and decision-making around quality, accuracy, relevance, and cost. The AgentControl team has a huge opportunity ahead of it; it's a strategic bet for LaunchDarkly, and we need your help writing the next chapter in our story.\n Responsibilities: \n \n Build and maintain scalable backend services, distributed systems, and APIs that power the AgentControl product \n You’ll primarily work in Go, Python, and TypeScript and will work directly with other technologies and tools such as AWS, CockroachDB, Datadog, DeepEval, and FastAPI.\n Collaborate with internal stakeholders, including product managers, designers, and other LaunchDarkly engineering teams, to understand real-world challenges and improve GenAI workflows using our own platform. \n Continuously optimize the performance, reliability, and scalability of our systems \n Participate in architecture and design discussions, offering thoughtful input and collaborating with senior engineers to identify tradeoffs and make well-informed decisions \n Keep up-to-date with the latest developments in the AI field and in software development best practices \n Take ownership of code in production, participate in on-call rotations, and help improve the reliability and maintainability of our systems over time. \n \n Qualifications: \n \n 5+ years of professional software engineering experience, with a track record of shipping production-quality full-stack features. \n Hands-on experience building GenAI features, Agents, and/or working with Large Language Models (LLMs), either through direct model integration or leveraging AI APIs like OpenAI, Google Cloud AI, or AWS Bedrock. \n Understanding of prompt engineering, fine-tuning models, or deploying AI services in production environments. \n Experience with designing, implementing, and maintaining RESTful APIs \n Experience writing production-ready code with emphasis on quality and maintainability \n Experience with distributed systems or data ingestion \n Strong computer science fundamentals \n Committed to working in a communicative, collaborative environment \n Comfortable navigating ambiguous challenges in a rapidly evolving domain, and excited about staying at the forefront of AI advancements \n Strong sense of ownership and accountability for delivering impactful solutions \n Proven ability to work closely with Product and Design teams to define requirements for new features in a fast-paced iterative environment\n \n \n Pay: \n Target pay ranges based on Geographic Zones* for Level 3: \n \n Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400**\n Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860**\n Zone 3: All other US locations - $145,500 - $200,090**\n \n LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. \n *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. \n About LaunchDarkly: \n Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare \"big-bang\" technology migrations. \n The LaunchDarkly platform was built to guide engineers to th","salary_min":145500,"salary_max":200090,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["llm","distributed-systems","generative-ai","fine-tuning","cloud","fullstack"],"apply_url":"https://job-boards.greenhouse.io/launchdarkly/jobs/7750116003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-27T22:02:02Z","expires_at":"2026-09-29T13:47:23.413174Z","created_at":"2026-05-28T14:18:25.498364Z","updated_at":"2026-08-30T13:47:23.540511Z","company_name":"LaunchDarkly","company_slug":"launchdarkly","company_logo_url":"https://www.google.com/s2/favicons?domain=launchdarkly.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f18a9045-c453-4617-84c9-63c285e45fbc"},{"id":"c9152f5f-5e3a-41ce-9074-296a20141fa5","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Staff Software Engineer, Full Stack - NYC","slug":"staff-software-engineer-full-stack-new-verticals-0ecdc7f3","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.\n\nOur team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.\n\nAt Harvey, the future of professional services is being written today — and we’re just getting started.\n\n\n\n\nROLE OVERVIEW\n\nAs a Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Retrieval over peta-byte scale documents\n\n - Organizational-level interfaces to collaborate with AI\n\n - Managing dedicated GPU capacity across 5+ regions\n\n - 1000-step planning agents that help take companies public\n\n - Government-level security for the world's most sensitive matters\n\n - Evaluating LLMs across a 10k+ leaf taxonomy of tasks\n\n - Internet-scale data collection from over 50+ jurisdictions\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\n - 6+ YoE (post-BS/MS) in a product focused full-stack software engineering role.\n\n - Track record of building fast-growing SaaS products by leveraging PWA technologies.\n\n - Track record of shipping highly intuitive products, strong attention to detail.\n\n - Experience building backend platforms that can support multiple product lines.\n\n - Strong programming skills and general Computer Science knowledge.\n\n - Grit - experience working at early-stage startups is a plus.\n\n\n\n\nCOMPENSATION RANGE\n\n$238,000 -$290,000 USD\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\n\n\n\n\n#LI-SB1\n\n\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai","salary_min":238000,"salary_max":290000,"location":"New York, NY","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"lead","tags":["agents","generative-ai","llm","fullstack"],"apply_url":"https://jobs.ashbyhq.com/harvey/8e513820-55f8-4cbd-8bdd-28a67992469c/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-15T03:43:31.768Z","expires_at":"2026-09-29T13:32:44.334376Z","created_at":"2026-05-15T14:02:18.633082Z","updated_at":"2026-08-30T13:32:44.472958Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c9152f5f-5e3a-41ce-9074-296a20141fa5"},{"id":"5578f55a-c18e-4852-9a22-2c95c57e34e6","company_id":"4c0fefc3-173a-4227-a823-4d67d3e70ff0","title":"Senior Software Engineer, Fullstack","slug":"senior-software-engineer-fullstack-4b8e8bb7","description":"Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.\n Our  base salary range is $146,880 - $220,320, and in addition we have generous bonus plans to provide a competitive compensation package. \n Who You Are: \n You are a seasoned full-stack engineer who thrives in greenfield environments where you have broad scope and the  opportunity to wear multiple hats. You excel in building impactful, AI-powered solutions and take pride in delivering intuitive, high-performance user experiences. In this role, you'll work closely with UX designers, AI/ML experts, and research scientists, both internally and at partner institutions, to create seamless interfaces that empower users to  interact effectively with our AI systems. You're energized by the opportunity to collaborate directly with researchers  to translate their needs into production applications that advance real scientific discovery.\n Who We Are:  \n The Agentic Applications team builds open, production-grade AI systems that power scientific discovery. We focus on developing intelligent agents that help researchers explore literature, synthesize knowledge, and accelerate their work across real-world scientific use cases. The team combines strong engineering practices with close collaboration across Ai2's product and research orgs to deliver tools used by millions of researchers and developers worldwide.\n Your Next Challenge: \n The essential functions include, but are not limited to the following:\n \n Work closely with UX designers, product managers, and research scientists to develop rich UI experiences using React and robust backend services in Python\n Engage in the entire software development lifecycle, from ideation and design to implementation and testing to deployment and operational support, with a strong sense of ownership for results\n Scale our systems in a cost-effective and sustainable manner and be a driving force behind continuous improvements in reliability and automation\n Improve team velocity through contributions to software design, feature development, platform and framework enhancements, capacity planning, and deployment tooling\n Help set and maintain best practices in how we measure, monitor, and respond to system availability, latency, and general application health\n Communicate effectively across engineering, product, and research teams to align priorities and drive projects to completion\n Mentor less-senior engineers on the team in both technical and non-technical skills\n \n What You’ll Need: \n \n Bachelor's degree and 8+ years of technical experience; relevant experience may substitute for education\n Professional experience with web development using JavaScript, HTML, and CSS\n Strong Python engineering skills\n Proficiency with front-end frameworks such as React\n Experience with AWS, Google Cloud, or similar cloud platforms\n Experience with analytics and observability tools like Heap, Datadog, or similar for monitoring performance, system health, and user interactions\n Solid understanding of integrating AI-powered capabilities into applications, including prompt engineering, memory management, agent workflows, and external tool integrations\n Strong communication skills and a sense of ownership for results\n \n Physical Demands and Work Environment: \n The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.\n \n Must be able to remain in a stationary position for long periods of time. \n The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. \n The ability to observe details at close range.\n Can work under deadlines.\n \n A Little More About Ai2: \n Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.\n In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:\n \n We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. \n We value diversity - We seek to hire, support, and promote people from all genders, ethniciti","salary_min":146880,"salary_max":220320,"location":"Seattle, WA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","robotics","healthcare","fullstack"],"apply_url":"https://job-boards.greenhouse.io/thealleninstitute/jobs/7872642","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-02T04:33:13Z","expires_at":"2026-09-29T13:47:18.573773Z","created_at":"2026-05-06T14:23:24.771293Z","updated_at":"2026-08-30T13:47:18.704286Z","company_name":"Allen Institute for AI","company_slug":"allen-institute-for-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=allenai.org\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/5578f55a-c18e-4852-9a22-2c95c57e34e6"},{"id":"74977f06-2f4d-4ac2-b100-473b5085a8fb","company_id":"f883ba7c-f4e6-4f8e-bdcf-58c31ed3e3b4","title":"Senior Full Stack Software Engineer","slug":"senior-full-stack-software-engineer-cdf4711a","description":"Vivodyne creates human data before clinical trials. \n We accelerate the successful discovery, design, and development of human therapeutics by testing on large, lab-grown human organ tissues at massive scale, driving technological advancement at the convergence of novel biology, robotics, and AI. We identify and validate new therapeutic targets and de-risk new therapeutic assets by producing clinically translatable multi-omic data from our proprietary, physiologically-realistic human organ tissues at unprecedented scale, speed, and quality. This enables us to produce more human data than all clinical trials in the U.S. combined. We’re financially backed by some of the most selective and successful venture funds, and we have already partnered with a majority of the top 10 multinational pharmaceutical companies to discover and develop better, safer drugs and dramatically reduce the burden of animal testing.\n www.vivodyne.com \n \n Role \n We’re looking for an exceptional Senior Full-Stack Software Engineer to work hand in hand with our Product team to build polished, high-performance web applications using React with FastAPI on the backend and Postgres as a database.\n The ideal candidate leads with deep frontend expertise in building sophisticated, stateful UIs in React/TypeScript, while bringing enough backend fluency to own features end-to-end. You'll build rich, data-dense interfaces for scientific workflows where getting the interaction design and state management right is the hard part. Additionally, the ideal candidate is an 'AI native' and uses their strong technical expertise to augment the prototyping speed provided by LLMs. You'll ship deliverables in days, not months, and have a sharp instinct for system architectures that achieve rapid delivery and robust performance.\n You will be a core contributor to shaping our next-generation biotech platform that discovers and tests new drugs on lab-grown human tissues.\n Own the building of scientific experiment design and results-monitoring tools that, together with our platform, have enabled Vivodyne to partner with a majority of the top-10 pharmaceutical companies in making better, safer cures to complex human diseases. You will be expected to deliver web applications that align with well-designed frames/user flows and product requirements that help scientists interact seamlessly with our unique datasets, robotic systems, and lab-grown tissues.\n You’ll have the opportunity to work at the cutting edge of biotech and software engineering, collaborating with teams spanning tissue engineering, robotics, and AI. You'll be working a few feet away from large precision robots, laser microscopes, and robot arms, surrounded by an exceptionally talent-dense team of experts from multiple scientific disciplines.\n You will be able to focus on building internal products and tools with incredible functionality, surrounded by sophisticated end users directly appreciative of the products you build---without needing to do integration testing for first-gen Chromebooks or handle bug reports from Fire tablets.\n While bringing a passion and exquisite skill for building and shipping high-quality applications that drive scientific discovery, you'll be involved firsthand in the advancement of human health, you'll watch thousands of human organ tissues grow before your eyes, and join an intense, fun, fast-moving team in shaping the future of human health.\n Responsibilities \n Frontend-Led Full-Stack Development — Architect and build complex React/TypeScript interfaces for scientific workflow applications; own backend integration points via API design and data layer work in Postgres.\n User Experience — Create clean, responsive, and user-focused interfaces that translate complex requirements into intuitive designs, establishing best practices for component architecture and state management patterns.\n Code Quality \u0026 Best Practices — Write well-tested, maintainable code with a focus on scalability, performance, and cost-efficiency.\n Collaboration \u0026 Communication — Work closely with scientists, engineers, and AI researchers to gather requirements, provide updates, and deliver impactful solutions.\n High Velocity / AI Accelerated Development — Leverage leading language models and agentic tools like Claude Code and Codex, or similar to ship reliable code quickly; maximize prototyping and component design velocity while balancing robustness of implementations\n Requirements and Expectations \n Technical Excellence\n \n Deep expertise in React, TypeScript, and modern frontend architecture (component composition, state management, performance profiling). \n Proficient in building visually appealing, high-performance React applications.\n Strong CSS/styling architectural skills (CSS modules, Tailwind etc.)\n Strong data modeling skills for biotech applications, translating scientific needs into structured schemas.\n Comfortable in API design, schema definition, and query optimization with ","salary_min":204400,"salary_max":285600,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","agents","llm","robotics","healthcare","cloud","fullstack"],"apply_url":"https://job-boards.greenhouse.io/vivodyne/jobs/5120631007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-24T21:09:48Z","expires_at":"2026-09-29T13:41:03.689405Z","created_at":"2026-04-30T05:53:08.037499Z","updated_at":"2026-08-30T13:41:03.831236Z","company_name":"Vivodyne","company_slug":"vivodyne","company_logo_url":"https://www.google.com/s2/favicons?domain=vivodyne.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/74977f06-2f4d-4ac2-b100-473b5085a8fb"},{"id":"711ab864-6ce0-4544-8506-4400ddaa7dd6","company_id":"a0000000-0000-0000-0000-000000000001","title":"Senior Software Engineer, Full-stack","slug":"software-engineer-full-stack-6da2683a","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n \n About the role\n \n Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. \n \n \n What you'll do:\n Developer Experience: You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.\n Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.\n Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:\n \n Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast.\n \n Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:\n \n Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.\n Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.\n Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from \"Claude answers when asked\" to \"Claude notices what you need\".\n \n Public Sector: Build products that deliver Claude to the U.S. federal \u0026 state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them.\n Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns \"we love the demo\" into a signed enter","salary_min":320000,"salary_max":320000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","agents","healthcare","fullstack"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5174743008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-08T18:58:35Z","expires_at":"2026-09-29T13:30:34.444153Z","created_at":"2026-04-13T09:36:05.01173Z","updated_at":"2026-08-30T13:30:34.583235Z","company_name":"Anthropic","company_slug":"anthropic","company_logo_url":"https://www.google.com/s2/favicons?domain=anthropic.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/711ab864-6ce0-4544-8506-4400ddaa7dd6"}],"page":1,"per_page":20,"total":191,"total_is_exact":true,"total_pages":10}