{"has_next":true,"jobs":[{"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, and Datadog.\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. This team has a huge opportunity ahead of it; we're growing fast and we need your help writing the next chapter in our story.\n Responsibilities:\n \n \n Build and maintain scalable backend services and APIs that power the AI Configs product\n \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 \n Continuously optimize the performance, reliability, and scalability of our systems\n \n Participate in architecture and design discussions, offering thoughtful input and collaborating with senior engineers to identify tradeoffs and make well-informed decisions\n \n Keep up-to-date with the latest developments in the AI field and in software development best practices\n \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 \n 5+ years of professional software engineering experience, with a track record of shipping production-quality full-stack features.\n \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 \n Understanding of prompt engineering, fine-tuning models, or deploying AI services in production environments.\n \n Experience with designing, implementing, and maintaining RESTful APIs\n \n Experience writing production-ready code with emphasis on quality and maintainability\n \n Experience with distributed systems or data ingestion\n \n Strong computer science fundamentals\n \n Committed to working in a communicative, collaborative environment\n \n Comfortable navigating ambiguous challenges in a rapidly evolving domain, and excited about staying at the forefront of AI advancements\n \n Strong sense of ownership and accountability for delivering impactful solutions\n \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 the next frontier of DevOps by:\n \n Improving the velocity and stability of software releases, without the fear of end customer outages\n Delivering targeted experiences by easily personalizing features to customer cohorts\n Maximizing the business impact of every feature through the ability to experiment and optimize\n Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types\n Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability\n \n At LaunchDarkly, we b","salary_min":145500,"salary_max":200090,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","llm","fine-tuning","generative-ai","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":"2026-06-29T14:16:49.153499Z","created_at":"2026-05-28T14:18:25.498364Z","updated_at":"2026-05-30T14:16:49.263304Z","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":"472b0959-bd3a-420a-b709-be7800b92204","company_id":"01048ffd-9864-41e0-a719-14b849fbcbcd","title":"Full Stack Software Engineer, Data","slug":"full-stack-software-engineer-data-b2679c25","description":"SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.\n FULL STACK SOFTWARE ENGINEER, DATA  \n The application software team is the central nervous system of SpaceX – we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flights as well as systems that allow Starlink to grow into a worldwide fast, reliable internet service.\n We are looking for engineers who treat fellow teammates with fairness, respect, and support.\n Our team is creating systems to analyze data from events like rocket launches or factory production workloads to always-on telemetry from the Starlink satellite constellation with point-in-time analysis, historical analysis and machine learning. We work closely with engineers throughout the company to create and update our systems with respect to crewed launches, Starship flights, changes to the Starlink network and much more.\n Aerospace experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce.\n RESPONSIBILITIES: \n \n Develop highly reliable and scalable data analysis libraries, systems, and data pipelines, to empower engineers across SpaceX\n Create new applications that improve how the business at SpaceX operates\n Collaborate with peers on architecture, design, and code reviews\n Build prototypes to prove out key design concepts and quantify technical constraints\n Own all aspects of software engineering and product development\n Deep dive into engineering problems and involve in corporation/coordination with domain experts\n \n BASIC QUALIFICATIONS: \n \n Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree\n 1+ years of experience in full stack development, software engineering, data engineering, or data science\n \n PREFERRED SKILLS AND EXPERIENCE: \n \n Programming experience in Python, C#, or similar languages\n Experience working with data analysis libraries such as Python Pandas\n Experience with machine learning libraries like SciPi and PyTorch\n Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, PowerBI or similar\n Experience with relational databases such as PostgreSQL\n Experience building web API’s and applications using Microsoft .NET\n Experience applying computer vision libraries such as OpenCV and Ultralytics to real-world problems\n Good understanding of version control, testing, continuous integration, build, deployment and monitoring\n Some front-end experience in Angular, React, or similar JavaScript framework\n Good understanding of statistics, machine learning algorithms and frameworks\n \n ADDITIONAL REQUIREMENTS:  \n \n Willing to work extended hours and weekends when needed\n Willing to travel when needed\n \n COMPENSATION AND BENEFITS: \n  \n Pay Range: Software Engineer/Level I: $125,000.00 - $145,000.00/per year Software Engineer/Level II: $145,000.00 - $175,000.00/per year\n \n Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.\n Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.\n ITAR REQUIREMENTS: \n \n To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more abo","salary_min":145000,"salary_max":175000,"location":"Hawthorne, CA","workplace":"onsite","job_type":"full-time","experience_level":"junior","tags":["fine-tuning","computer-vision","pytorch","data-pipeline","fullstack"],"apply_url":"https://boards.greenhouse.io/spacex/jobs/8553026002?gh_jid=8553026002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-15T22:46:46Z","expires_at":"2026-06-29T14:16:58.69223Z","created_at":"2026-05-16T14:17:43.219351Z","updated_at":"2026-05-30T14:16:58.806326Z","company_name":"SpaceX","company_slug":"spacex","company_logo_url":"https://www.google.com/s2/favicons?domain=spacex.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/472b0959-bd3a-420a-b709-be7800b92204"},{"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","job_type":"full-time","experience_level":"lead","tags":["generative-ai","payments","search","fullstack"],"apply_url":"https://jobs.ashbyhq.com/openart/cb062472-a1b3-4156-9c43-16675bd5d528/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-15T07:55:38.993Z","expires_at":"2026-06-29T14:19:55.869216Z","created_at":"2026-05-15T14:21:40.328316Z","updated_at":"2026-05-30T14:19:55.9895Z","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":"c9152f5f-5e3a-41ce-9074-296a20141fa5","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Staff Software Engineer, Full Stack - New Verticals","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. With 1500+ customers in 60+ countries, 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\nWe’re hiring a Senior Software Engineer, New Verticals to build new products and capabilities for the legal industry from first principles.\n\nThis is a deeply technical, end-to-end engineering role for someone who is excited to own ambiguous, high-leverage problems across the full stack. You will work on greenfield and early-stage product areas that span user-facing applications, backend services, data systems, document and knowledge pipelines, and agentic workflows. Depending on the problem, that may mean building production frontend experiences, designing APIs and services, modeling data, standing up ETL pipelines, improving retrieval and evaluation loops, orchestrating long-running agents, or shipping platform capabilities that make entirely new solution categories possible.\n\nYou will partner closely with customers, product, design, and other engineers to understand complex legal workflows and translate them into robust, scalable software. The goal is not just to deliver custom solutions, but to identify repeatable patterns and turn them into durable product and platform capabilities that can define new verticals for Harvey.\n\nThis role is hybrid, based in New York, NY and offers relocation assistance.\n\n\n\n\nHOW YOU WILL MAKE A 10X IMPACT\n\nHigh Beta: You understand that ambiguity and volatility are part of building new products. You can move from undefined problem spaces to concrete technical plans, test assumptions quickly, and adjust without attachment when the evidence changes.\n\nCustomer-Driven Engineering: You ground technical decisions in real user problems. You are excited to work directly with customers and internal partners, understand complex workflows in detail, and build systems that solve practical, high-value problems in production.\n\nRelentless Builder Mentality: You have a strong bias toward shipping. You know how to balance speed and rigor, and you are comfortable building the first version, learning from usage, and then improving architecture, reliability, and scale over time.\n\nStrong Technical Judgment: You can navigate tradeoffs across product, infrastructure, and data. You know when to invest in abstractions, when to keep things simple, and how to make systems that are both pragmatic in the short term and durable in the long term.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design and build production systems end-to-end across frontend applications, backend services, APIs, data models, and developer tooling.\n\n - Develop new vertical product capabilities involving document ingestion, workflow orchestration, retrieval, structured outputs, agent frameworks, and human-in-the-loop review flows.\n\n - Build and operate data-intensive systems, including ETL pipelines, analytical data models, serving layers, and interfaces for querying and exploring large datasets.\n\n - Work across a modern technical stack that may include Python, TypeScript, SQL, cloud infrastructure, agent orchestration engines, data processing platforms, and analytical databases.\n\n - Define service boundaries, schema design, and system architecture for new product areas with an emphasis on reliability, extensibility, and speed of iteration.\n\n - Ship customer-facing features quickly, then harden them for scale through observability, testing, performance tuning, and operational excellence.\n\n - Partner directly with customers and internal stakeholders to understand domain-specific workflows, map requirements into technical designs, and iterate rapidly on real usage.\n\n - Build evaluation, monitoring, and feedback systems that measure product quality in production and inform engineering and model decisions.\n\n - Contribute reusable platform patterns, abstractions, and internal tools so successful solut","salary_min":260000,"salary_max":310000,"location":"New York, NY","workplace":"hybrid","job_type":"full-time","experience_level":"lead","tags":["agents","cloud","data-pipeline","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":"2026-06-29T14:02:11.520003Z","created_at":"2026-05-15T14:02:18.633082Z","updated_at":"2026-05-30T14:02:11.628556Z","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":"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":"BUILDING OPEN SUPERINTELLIGENCE INFRASTRUCTURE\n\nPrime Intellect is building the open superintelligence stack - from frontier agentic models to the infrastructure that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full RL post-training stack, and we build the developer platform that makes all of it usable.\n\nWe enable researchers, startups, and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.\n\nWe recently raised $15mm in funding https://www.primeintellect.ai/blog/fundraise (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI), and many others.\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","job_type":"full-time","experience_level":"lead","tags":["agents","api-design","cloud","reinforcement-learning","fullstack"],"apply_url":"https://jobs.ashbyhq.com/PrimeIntellect/c074bdd9-bee2-4ee9-ae03-aa8f7537682c/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-14T18:39:32.028Z","expires_at":"2026-06-29T14:09:44.533975Z","created_at":"2026-04-13T15:01:32.563487Z","updated_at":"2026-05-30T14:09:44.648017Z","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":"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 $126,000 - $189,000, 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, ethnicities","salary_min":126000,"salary_max":189000,"location":"Seattle, WA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["agents","healthcare","robotics","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":"2026-06-29T14:16:43.704517Z","created_at":"2026-05-06T14:23:24.771293Z","updated_at":"2026-05-30T14:16:43.820774Z","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":"7d178255-3527-4252-aba5-c46fae94b664","company_id":"1f4520df-9fc1-4ace-a80b-6c3266f03e8a","title":"Software Engineer, Full Stack, Tinker","slug":"software-engineer-full-stack-tinker-74632195","description":"Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. \n We are scientists, engineers, and builders who’ve created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.\n About Tinker \n Tinker is our fine-tuning API that empowers researchers and developers to customize frontier AI to their needs — opening access to capabilities that have previously been concentrated in a handful of labs. We manage the infrastructure while allowing Tinkerers full flexibility in training open weights models with their own data, algorithms, and for their own needs. Tinker is rapidly adding new customers, features, and novel use-cases. We’re hiring to grow the platform alongside the Tinker community.\n About the Role\n We're looking for a full stack engineer to build and ship the products and services that Tinker users interact with every day. You'll work across frontend, backend, and infrastructure building the Tinker console, developer tools, and whatever Tinker needs most.\n What You’ll Do\n \n Build and extend Tinker's APIs and backend services in Python and Rust, from job submission and orchestration to billing and usage tracking.\n Ship user-facing product surfaces — console and future tools — with React and TypeScript.\n Improve the developer experience for Tinker users: SDK ergonomics, error messages, API design, onboarding flow.\n Improve system reliability, observability, and security across Tinker's production environment; participate in on-call.\n Build internal tooling that accelerates the Tinker research and infrastructure teams.\n \n Skills and Qualifications\n Minimum qualifications:\n \n Bachelor's degree or equivalent experience in computer science, engineering, or similar.\n Proficiency in at least one backend language (we use Python and Rust).\n Some familiarity with React, TypeScript, or mobile platforms.\n Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.\n A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.\n \n Preferred qualifications — we encourage you to apply if you meet some but not all of these:\n \n 4+ years building backend systems in production.\n Experience designing and maintaining backend APIs at scale, especially for developer-facing platforms.\n Experience building tooling or products for ML training, fine-tuning, or inference workloads.\n Familiarity with distributed training infrastructure, job orchestration, and GPU scheduling.\n Ability to build high-quality, production-level UIs from prototype to polish.\n Experience with developer experience work — SDK design, CLI tooling, API ergonomics, documentation.\n \n Logistics\n \n Location: This role is based in San Francisco, California or New York, New York. \n Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.\n Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.\n Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.\n As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. \n Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.","salary_min":350000,"salary_max":475000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"principal","tags":["fine-tuning","api-design","payments","distributed-systems","pytorch","infrastructure","fullstack"],"apply_url":"https://job-boards.greenhouse.io/thinkingmachines/jobs/5203385008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-28T16:27:23Z","expires_at":"2026-06-29T14:17:17.033143Z","created_at":"2026-04-30T05:57:41.976845Z","updated_at":"2026-05-30T14:17:17.147775Z","company_name":"Thinking Machines","company_slug":"thinking-machines","company_logo_url":"https://www.google.com/s2/favicons?domain=thinkingmachin.es\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/7d178255-3527-4252-aba5-c46fae94b664"},{"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","job_type":"full-time","experience_level":"senior","tags":["agents","llm","api-design","cloud","robotics","healthcare","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":"2026-06-29T14:10:28.965407Z","created_at":"2026-04-30T05:53:08.037499Z","updated_at":"2026-05-30T14:10:29.074686Z","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":"dea2f2a2-0a76-4d1a-a236-35842a7f9b80","company_id":"654d4532-88db-435d-8a6f-161b8c5a491e","title":"Principal Full-Stack Data Scientist - Recommendation Algorithms ","slug":"principal-full-stack-data-scientist-recommendation-algorithms-d156b106","description":"About Stitch Fix, Inc. \n Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours.  We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential.\n About the Team \n Stitch Fix is redefining retail by blending the art of fashion with the science of machine learning. Throughout the company's history, the Client Experience Algorithms Organization has been a key source of our innovation and competitive differentiation. We build the tools that power personal style, combining best-in-class models with expert human judgment. We foster a culture of ownership where Data Scientists manage the full lifecycle of their work, from research to model deployment. You’ll use multidisciplinary tools to solve complex problems in a data-rich environment, directly influencing how millions of clients discover what they love.\n The Recommendation Algorithms team is building the future of personalized apparel shopping by thoughtfully combining algorithms with product innovation. A key area of focus is the continued improvement of the quality of recommended assortments along various dimensions, including seasonality, diversity, and freshness. A secondary area is the ability to deliver high-quality recommendations in real time to engage and delight new clients and therefore expand our total addressable market  \n About the Role \n This role will lead the development of our outfit completion models. These models combine client preferences, stylist expertise, and machine learning to inspire and guide client discovery through personalized and cohesive outfits.\n A key area of focus is improving the quality and relevance of generated outfits across dimensions such as cohesiveness, diversity, and contextual awareness (e.g., occasion, seasonality, and trendiness). This role will also drive innovation in how these models are trained, evaluated, and served in real-time, ensuring a seamless and engaging client experience.\n You're excited about this opportunity because you will… \n \n Lead the technical direction and development of our outfit completion models, a critical component of the Stitch Fix client experience\n Drive end-to-end model development, from problem formulation and research to production deployment and iteration\n Design and implement state-of-the-art machine learning models (including deep learning approaches in PyTorch) to model relationships between items and generate high-quality outfits\n Mentor and guide other data scientists on the team, raising the bar for modeling, experimentation, and engineering excellence\n Own and evolve experimentation strategies, defining success metrics and translating results into clear business impact\n Partner cross-functionally with Product, Engineering, and Design to shape the roadmap for outfit-based experiences across StitchFix.com\n Tackle ambiguous, high-impact problems and bring structure, clarity, and technical leadership to drive solutions forward\n Leverage rich, multi-modal datasets spanning client behavior, merchandise attributes, and stylist inputs to power innovative recommendations\n \n We’re excited about you because… \n \n You have 5+ years of experience building and deploying machine learning models, including deep learning models in frameworks such as PyTorch\n You have strong experience with recommendation systems, ranking, or related domains (e.g., retrieval, embeddings, or generative modeling)\n You have demonstrated technical leadership, including mentoring other ICs, leading projects, or setting modeling direction\n You are comfortable owning ambiguous problem spaces and driving projects from concept to production\n You have deep experience with experimentation and causal inference, and can connect model improvements to business outcomes\n You are fluent in SQL and experienced working with large-scale datasets\n You are proficient in Python and have experience building production-ready data science systems\n You are an effective communicator who can influence cross-functional partners and align teams around a shared vision\n You are curious, pragmatic, and motivated to continuously raise the bar for both yourself and your team\n \n Why you'll love working at Stitch Fix... \n \n We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.\n We cultivate a community of diverse perspectives— all voices are heard and valued.\n We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. \n We win as a team, commit to our work, and celebrate grit together because we value strong relationships.\n We boldly ","salary_min":142100,"salary_max":237000,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"principal","tags":["pytorch","healthcare","payments","mlops","deep-learning","generative-ai","fullstack","data-science"],"apply_url":"https://www.stitchfix.com/careers/jobs?gh_jid=7557715\u0026gh_jid=7557715","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-14T22:38:06Z","expires_at":"2026-06-29T14:18:30.711504Z","created_at":"2026-04-17T04:55:22.711183Z","updated_at":"2026-05-30T14:18:30.823383Z","company_name":"Stitch Fix","company_slug":"stitch-fix","company_logo_url":"https://www.google.com/s2/favicons?domain=stitchfix.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/dea2f2a2-0a76-4d1a-a236-35842a7f9b80"},{"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 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 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 Financial Services — analysts and bankers building models, memos, and decks under deadline. We're building retrieval, analysis, and document generation that holds up to executive review.\n Healthcare — clinical documentation, prior auth, and care coordination. Work where accuracy isn't a feature, it's the whole product — and where compliance is part of the engineering.\n Legal — contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it's wrong.\n \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 enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what","salary_min":320000,"salary_max":320000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["llm","legal","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":"2026-06-29T14:00:24.17659Z","created_at":"2026-04-13T09:36:05.01173Z","updated_at":"2026-05-30T14:00:24.288293Z","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"},{"id":"319ff262-8917-4516-9729-c705ff1aca20","company_id":"a0000000-0000-0000-0000-000000000001","title":"Staff+ Software Engineer, Full-stack","slug":"staff-software-engineer-full-stack-00fad4f5","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 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 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 Financial Services — analysts and bankers building models, memos, and decks under deadline. We're building retrieval, analysis, and document generation that holds up to executive review.\n Healthcare — clinical documentation, prior auth, and care coordination. Work where accuracy isn't a feature, it's the whole product — and where compliance is part of the engineering.\n Legal — contract analysis, document review, and matter management for teams that will read every word we generate and know immediately if it's wrong.\n \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 enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what","salary_min":405000,"salary_max":485000,"location":"San Francisco, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["healthcare","agents","llm","legal","fullstack"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5174747008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-08T18:57:51Z","expires_at":"2026-06-29T14:00:27.148683Z","created_at":"2026-04-13T09:36:06.892023Z","updated_at":"2026-05-30T14:00:27.257509Z","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/319ff262-8917-4516-9729-c705ff1aca20"},{"id":"8badc86c-e91b-4905-9402-f40dc3f1f47c","company_id":"24cd325c-d323-4000-9270-131ae4b3f35a","title":"Full-Stack Developer","slug":"full-stack-developer-061deec9","description":"About Burro\nBurro is the leading robotics company in the world by number of robots working outdoors in the field with real customers. Our mission is to free people from tedious work and solve the critical labor shortages faced by farmers and others that work outdoors. \nTo accomplish our mission, we need a world-class, diverse team where everyone feels comfortable sharing their ideas. With this in mind, we strive to create a work environment where every employee can be themselves and express their perspective – this enables us to deliver the most creative and innovative solutions to problems our customers face.\nHeadquartered in Philadelphia with an office in central California, and backed by top Agtech and autonomy investors, including S2G, Catalyst, Translink, Cibus, FPrime, Toyota Ventures, FFVC, Xplorer, and Radicle, Burro was created to solve the labor shortages facing farmers using robotics. \nBurros can be described as Disney's Wall-E for agriculture and work outdoors, in a 1.0 format.  They function, today, as computer vision based autonomous ground vehicles for carrying, towing, and scouting, and are designed to lay the base for the fully autonomous future of work outdoors.  We have a growing triple digit fleet deployed in paid commercial use within vineyards, nurseries, berries, and beyond, and demand for our product is accelerating, so we are growing our team. \n \nTheRole\nAt Burro, we are building the mission control for the future of autonomous work. BOSS Web serves as our universal fleet management platform, providing users with total visibility and control over hundreds of robots in real time from any device. We are looking for a Full-Stack Developer to join our Applications and User Experience team to drive the evolution of this interface, acting as a critical bridge between high-frequency robot telemetry and the human operator. You will collaborate with our engineers and designers to build high-performance, map-driven tools that transform massive geospatial datasets into intuitive, actionable insights for our customers.\nWorking as part of a growing team, you will ensure that as our fleets scale across vast agricultural and industrial environments, our software remains reliable and performant. While your primary focus is the development of BOSS Web, you will also provide periodic UI development support to the on-robot software team. You will be responsible for the technical implementation of new features and complex frontend state required for smooth real-time data rendering.\n","salary_min":110000,"salary_max":130000,"location":"Philadelphia, PA","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["computer-graphics","robotics","computer-vision","fullstack"],"apply_url":"https://jobs.lever.co/Burro/0aa79aba-9c7f-4aa9-827d-3de367c067f9/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-17T14:07:53.342Z","expires_at":"2026-06-29T14:16:13.020806Z","created_at":"2026-04-16T21:15:05.26941Z","updated_at":"2026-05-30T14:16:13.135025Z","company_name":"Burro","company_slug":"burro","company_logo_url":"https://www.google.com/s2/favicons?domain=burro.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/8badc86c-e91b-4905-9402-f40dc3f1f47c"},{"id":"ef512baa-37fc-4238-9937-c37a7d9f7c6e","company_id":"00efdc26-b22e-49e8-b7e8-3e24e6bea23e","title":"Staff Full Stack Engineer, Product","slug":"staff-full-stack-engineer-product-e136a2b0","description":"Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.\n POSITION SUMMARY: \n  \n We are looking for a staff full-stack engineer whose core strength is building customer-facing products. You will own the experiences that managers, drivers, and operations teams interact with every day — whether that’s a web application, a mobile interface, or workflows that integrate into tools they already use.\n You have strong frontend instincts and good design taste. You know how to take ambiguous customer problems, ship something quickly, watch how people actually use it, and iterate. You are also comfortable building the backend services and APIs that power those experiences. Mobile development experience is a plus but not required.\n This is a small, early-stage team. You will move between frontend and backend as priorities shift, shape product direction through what you build and learn, and work directly with customers from day one.\n ESSENTIAL FUNCTIONS: \n  \n \n Customer-facing product surfaces for managers and workers — from initial prototypes through production-quality experiences. The form factor will evolve; your job is to make the product useful and intuitive regardless of where it lives.\n Backend services and APIs: data modeling, auth, role-based access control, multi-tenancy, and integration points for enterprise platforms.\n Frontend architecture: building performant, data-rich interfaces that handle media, real-time data, and complex workflows.\n Rapid iteration with real customers: shipping quickly, instrumenting usage, and using feedback to drive what gets built next.\n \n  \n QUALIFICATIONS: \n  \n \n 7+ years of software engineering experience, with depth in frontend and full-stack product development.\n Strong product instincts and good design taste. You can make thoughtful UX tradeoffs without waiting for a designer, and you iterate based on what you learn from real users.\n Experience building data-dense, media-rich interfaces — video, maps, timelines, complex workflows.\n Comfortable with backend development: API design, data modeling, auth, multi-tenancy.\n Experience with cloud infrastructure (AWS preferred): S3, Lambda/ECS, RDS or DynamoDB.\n Willingness to work across the stack wherever the team needs you. This is a small team — you will wear multiple hats.\n Mobile development experience (Android) is a strong plus.\n \n EDUCATION: \n \n Bachelor’s degree in Computer Science, Engineering, or a related technical field\n \n Compensation Package_Perks of being a Netradyne employee:  \n \n Salary + eligibility for yearly bonus  \n Company equity\n Company Paid Health Care, Dental, and Vision Coverage for you and most of your dependents\n Generous PTO and Sick Leave\n 401(K) with generous company match\n Disability, Life Insurance and Ancillary Benefits\n And much more!\n \n  \n San Diego Pay Range\n $140,318 — $187,091 USD \n We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.\n If there is a match between your experiences/skills and the Company's needs, we will contact you directly.\n Netradyne is an equal-opportunity employer.\n Applicants only - Recruiting agencies do not contact. \n Recruitment Fraud Alert! \n There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.\n Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website .","salary_min":140318,"salary_max":187091,"location":"San Diego, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["cloud","api-design","payments","computer-vision","fullstack"],"apply_url":"https://www.netradyne.com/company/careers?gh_jid=4672257005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-11T20:33:14Z","expires_at":"2026-06-29T14:17:26.947621Z","created_at":"2026-04-17T00:48:53.679165Z","updated_at":"2026-05-30T14:17:27.062095Z","company_name":"NetraDyne","company_slug":"netradyne","company_logo_url":"https://www.google.com/s2/favicons?domain=netradyne.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ef512baa-37fc-4238-9937-c37a7d9f7c6e"},{"id":"abb023ac-f2a2-403c-9a9c-1c2cd43c5d0c","company_id":"00efdc26-b22e-49e8-b7e8-3e24e6bea23e","title":"Staff Full Stack Engineer, Platform","slug":"staff-full-stack-engineer-platform-0696a3b4","description":"Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.\n POSITION SUMMARY: \n We are looking for a staff full-stack engineer whose core strength is backend systems and infrastructure. You will own the platform that ingests, processes, stores, and serves large volumes of video and sensor data. The primary data sources are edge/IoT devices operating in the field. You need to understand how to design systems that work reliably under those conditions.\n You care about reliability, scalability, and cost efficiency, and you are comfortable making architectural decisions early when requirements are still evolving. Privacy and security engineering is a first-class concern for this product, and you will own that infrastructure. If you have ML engineering experience, there are opportunities to apply it — but it is not required.\n This is a small, early-stage team. You will design systems from scratch, make foundational architecture choices, and own entire subsystems end-to-end\n ESSENTIAL FUNCTIONS: \n \n Device-to-cloud data platform: the systems that receive data from edge devices in the field, process it, store it efficiently, and make it queryable. This includes handling store-and-forward uploads, media pipelines, metadata indexing, tiered storage, and APIs that serve rich content to frontend experiences.\n Privacy and security infrastructure: access control, audit logging, configurable data retention and recording policies, consent management. Privacy is a day-one architectural requirement, not a feature bolted on later.\n Cloud infrastructure and DevOps: provisioning, CI/CD, monitoring, alerting, cost management. You own the operational health of the platform.\n API design and backend services: data modeling, auth, multi-tenancy, and integration points for enterprise systems.\n \n QUALIFICATIONS: \n \n 7+ years of software engineering experience, with depth in backend systems, data infrastructure, or media platforms.\n Experience building systems that handle large-scale data: ingestion pipelines, transcoding, storage, indexing, or streaming.\n Experience with IoT or edge device data — store-and-forward, intermittent connectivity, device fleet management — is a strong differentiator.\n Strong infrastructure skills: AWS (S3, Lambda, EC2, SQS, DynamoDB), CI/CD, monitoring, cost optimization.\n Experience with data modeling, search and indexing, and building APIs that serve rich content.\n Privacy and security engineering experience is a strong plus: access control, audit logging, policy enforcement, compliance.\n Willingness to work across the stack wherever the team needs you. This is a small team — you will wear multiple hats.\n ML engineering experience (on-device inference, model quantization) is a bonus but not required.\n \n EDUCATION: \n \n Bachelor’s degree in Computer Science, Engineering, or a related technical field\n \n Compensation Package_Perks of being a Netradyne employee:  \n \n Salary + eligibility for yearly bonus  \n Company equity\n Company Paid Health Care, Dental, and Vision Coverage for you and most of your dependents\n Generous PTO and Sick Leave\n 401(K) with generous company match\n Disability, Life Insurance and Ancillary Benefits\n And much more!\n \n  \n San Diego Pay Range\n $140,318 — $187,091 USD \n We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.\n If there is a match between your experiences/skills and the Company's needs, we will contact you directly.\n Netradyne is an equal-opportunity employer.\n Applicants only - Recruiting agencies do not contact. \n Recruitment Fraud Alert! \n There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.\n Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's","salary_min":140318,"salary_max":187091,"location":"San Diego, CA","workplace":"onsite","job_type":"full-time","experience_level":"lead","tags":["computer-vision","payments","cloud","api-design","security","fullstack"],"apply_url":"https://www.netradyne.com/company/careers?gh_jid=4672275005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-11T20:32:14Z","expires_at":"2026-06-29T14:17:26.87235Z","created_at":"2026-04-17T00:48:53.672138Z","updated_at":"2026-05-30T14:17:26.98274Z","company_name":"NetraDyne","company_slug":"netradyne","company_logo_url":"https://www.google.com/s2/favicons?domain=netradyne.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/abb023ac-f2a2-403c-9a9c-1c2cd43c5d0c"},{"id":"fe11f0ef-250b-4162-ae7c-fbe0fe5ed598","company_id":"5b08d89d-9846-4ef7-8b53-d07ef3ee6c19","title":"Full Stack Engineer","slug":"full-stack-engineer-f3b2e2d4","description":"About Arc Institute \n Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases. Founded in 2021 and based in Palo Alto, Arc partners with Stanford University, UC Berkeley, and UC San Francisco.\n Unlike academia, our scientists have long-term funding and industry-like resources. Unlike industry, they're free to pursue high-risk, long-term research without commercial pressures. Arc's Technology Centers and Core Investigator labs work side by side, integrating experimental and computational biology under one roof to tackle problems neither could solve alone.\n Our two Institute Initiatives reflect this model in action:\n \n Virtual Cell Initiative : Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets,  accelerating the path from biological insight to clinical trials.\n Alzheimer's Disease Initiative : Mapping the genes, pathways, and environmental factors behind Alzheimer's disease to develop drug candidates that address root causes.\n \n More than 300 Arconauts work together at our Palo Alto headquarters, backed by substantial long-term philanthropic funding.\n About the position \n We're looking for a Full Stack Engineer with a backend and internal tools focus to help build the software infrastructure that  powers science at Arc. You'll own and develop platforms that Arc's researchers rely on daily, from genomics submission systems to data catalogs to ML tooling, while contributing to public-facing products like the Virtual Cell Challenge. This is a hands-on, cross-functional role where you'll work directly with biologists, bioinformaticians, and ML engineers to understand their workflows and build tools that become essential to how researchers work.\n About you \n \n You thrive at the intersection of engineering and domain expertise , building tools that make complex scientific workflows feel simple.\n You have a sharp eye for inefficiency and don't wait to be told what to build. You proactively seek out friction in workflows, talk to users, and propose solutions.\n You’re comfortable collaborating across disciplines , working with researchers, designers, and other stakeholders to clarify needs, define scope, and build intuitive, elegant tools.\n You’re a strong communicator and a self-directed builder who enjoys taking ownership, iterating quickly, and learning on the fly.\n You care about clarity and craft , writing clean code and building interfaces that balance usability, performance, and simplicity, without over-engineering.\n \n In this position you will \n \n Own and evolve the Virtual Cell Challenge backend, including authentication, metrics pipelines, and participant analytics\n Build and maintain Arc's internal Genomics platforms, including NGS submission, sample tracking, and QC automation\n Architect and develop an internal Data Catalog for browsing, searching, and interacting with rich datasets across the Virtual Cell Atlas and other research programs\n Build tooling and infrastructure to support Arc's ML engineering workflows such as model registries, experiment tracking, and inference pipelines\n Own backend services for Arc's Imaging platform, supporting microscopy and spatial data workflows\n Collaborate directly with scientists and computational researchers to identify pain points and ship solutions with a product mindset\n \n Requirements \n \n 4+ years of experience in backend or full-stack engineering roles, with a Bachelor's degree in Computer Science, Biology, Bioinformatics, or a related field\n Proficiency in Python or Node.js and modern API frameworks such as FastAPI, Flask, or Express\n Strong experience with relational databases (PostgreSQL preferred), including schema design, query optimization, and data modeling\n Proficiency with AI-assisted development tools (Claude, Cursor, Copilot, or similar) as a core part of your workflow\n Experience building internal apps and tools for scientific/technical users\n \n Preferred Qualifications \n \n Experience with scientific data formats and tools (e.g., h5ad/AnnData, pandas, NumPy, scverse ecosystem)\n Familiarity with cloud infrastructure (GCP, AWS, or Azure)\n Experience with CI/CD pipelines, Docker, and containerized deployments\n Familiarity with modern JavaScript/TypeScript and frameworks such as Next.js and React\n \n The base salary range for this position is $133,000 to $165,000. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position ","salary_min":133000,"salary_max":165000,"location":"Palo Alto, CA","workplace":"onsite","job_type":"full-time","experience_level":"mid","tags":["code-generation","cloud","healthcare","fullstack"],"apply_url":"https://job-boards.greenhouse.io/arcinstitute/jobs/5821381004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-06T23:17:34Z","expires_at":"2026-06-29T14:19:47.060465Z","created_at":"2026-04-17T19:52:34.264053Z","updated_at":"2026-05-30T14:19:47.174735Z","company_name":"Arc Institute","company_slug":"arc-institute","company_logo_url":"https://www.google.com/s2/favicons?domain=arcinstitute.org\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/fe11f0ef-250b-4162-ae7c-fbe0fe5ed598"},{"id":"3b0e69e2-7ca0-4af8-9167-2bf0162ef744","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Sr Fullstack Engineer, Agentic Applications","slug":"sr-fullstack-engineer-agentic-applications-a065a415","description":"At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.\n As a Senior Frontend Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products.\n Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts.\n \n Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources.\n Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs.\n Seamless onboarding and management for all members of an organization to become data-driven.\n Provide a great SQL-centric data exploration and dashboarding experience on Databricks\n An interactive environment for collaborative data projects at massive scale with an easy path to production. \n \n What we look for: \n \n 5+ years of experience with HTML, CSS, and JavaScript\n Experience leading large multi-quarter efforts with a demonstrated customer or business impact\n Passion for user experience and design and an understanding of front-end architecture\n Comfortable working towards a multi-year vision with incremental deliverables\n Motivated by delivering customer value\n Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)\n Familiarity with server-side web technologies is a plus\n Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability\n Experience building large-scale products\n \n Benefits \n \n Comprehensive health coverage including medical, dental, and vision\n 401(k) Plan\n Equity awards\n Flexible time off\n Paid parental leave\n Family Planning\n Gym reimbursement\n Annual personal development fund\n Work headphones reimbursement\n Employee Assistance Program (EAP)\n Business travel accident insurance\n Mental wellness resources\n \n COVID-19 Vaccination Requirement \n As a federal government contractor, Databricks requires new U.S. employees to be fully vaccinated against COVID-19. Proof of vaccination will be required as a condition of employment. Databricks will make reasonable accommodations based on medical conditions or religious grounds for qualified candidates in accordance with applicable law.\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 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on  Twitter ,  LinkedIn   and   Facebook . 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 incl","salary_min":192000,"salary_max":260000,"location":"Mountain View, CA","workplace":"onsite","job_type":"full-time","experience_level":"senior","tags":["agents","data-pipeline","fine-tuning","fullstack"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8220814002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-03T16:24:08Z","expires_at":"2026-06-29T14:01:59.547952Z","created_at":"2026-04-13T09:37:47.866066Z","updated_at":"2026-05-30T14:01:59.657764Z","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/3b0e69e2-7ca0-4af8-9167-2bf0162ef744"},{"id":"1796addc-ae86-4dad-8e76-b246ac6b621a","company_id":"7551b4ca-b2b0-493a-ab58-a15bd9c50393","title":"Senior Full Stack Engineer - Conversation Intelligence","slug":"senior-full-stack-engineer-conversation-intelligence-3afa6161","description":"Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. \n Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.\n Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.\n About the role: \n The QM \u0026 Coaching Team at Cresta is vital for our post-call intelligence products. Our core mission is to utilize Large Language Models (LLMs) and advanced AI techniques to transform conversations into actionable intelligence, streamlining the process of agent performance review and coaching. We build systems that deeply analyze agent behaviors, delivering structured insights into their performance and pinpointing critical areas for improvement. Through AI-powered exploration and interactive workflows, our work empowers organizations to leverage data-driven decisions and enhance the overall customer experience.\n As a Senior Fullstack Engineer , you’ll play a key role in building and scaling the no-code platform that powers Cresta’s processing capabilities. This platform empowers non-technical users to configure conversation workflows, apply automation without writing code. You will work across the stack—from building intuitive UIs to robust backend services—enabling customers to unlock value from conversations quickly and flexibly.\n You’ll partner with designers, product managers and AI/ML teams to turn complex requirements into delightful and performant product experiences. You’ll also help shape the future of our no-code architecture, ensuring it scales with our product and customer base.\n Responsibilities:  \n \n Design, develop, and maintain end-to-end features for Cresta’s no-code processing platform.\n Build intuitive UI components and visual editors for configuring conversation logic and workflows.\n Architect and implement backend services and APIs to power a dynamic no-code interface.\n Work closely with ML engineers to expose conversation intelligence in an accessible and configurable way.\n Develop data models and storage layers using Postgres, ClickHouse, and Elasticsearch.\n Identify areas for performance improvements and scalability in both frontend and backend systems.\n Ensure reliability, security, and maintainability across the full technology stack.\n Participate in design discussions, code reviews, and continuous integration processes.\n \n Qualifications:  \n \n Proven experience as a Senior Fullstack Engineer , with strong frontend and backend contributions to no-code or low-code platforms.\n Deep understanding of modern frontend technologies (React, TypeScript, etc.) and design patterns for building complex UIs.\n Backend expertise in Python, Go, or similar languages; experience with RESTful APIs and microservices architecture.\n Strong foundation in database systems and data modeling; hands-on experience with Postgres, ClickHouse, or Elasticsearch is a plus.\n Experience building platforms or tools for non-technical users, especially in AI/ML, automation, or workflow spaces.\n Familiarity with managing state, execution logic, or visual programming paradigms is a bonus.\n Strong collaboration and communication skills—able to work effectively across product, design, and engineering teams.\n Passion for building systems that simplify complex problems and empower users.\n \n Perks \u0026 Benefits: \n We offer a comprehensive and people-first benefits package to support you at work and in life:\n \n Comprehensive medical, dental, and vision coverage with plans to fit you and your family\n Flexible PTO to take the time you need, when you need it\n Paid parental leave for all new parents welcoming a new child\n Retirement savings plan to help you plan for the future\n Remote work setup budget to help you create a productive home office\n Monthly wellness and communication stipend to keep you connected and balanced\n In-office meal program and commuter benefits provided for onsite employees\n \n Compensation at Cresta:  \n Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.\n The posted base salary range represents what we expec","salary_min":205000,"salary_max":270000,"location":"United States","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["agents","microservices","fine-tuning","search","llm","fullstack"],"apply_url":"https://job-boards.greenhouse.io/cresta/jobs/5026013008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-02T00:13:33Z","expires_at":"2026-06-29T14:04:04.264737Z","created_at":"2026-04-13T09:39:51.443708Z","updated_at":"2026-05-30T14:04:04.375416Z","company_name":"Cresta","company_slug":"cresta","company_logo_url":"https://www.google.com/s2/favicons?domain=cresta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1796addc-ae86-4dad-8e76-b246ac6b621a"},{"id":"e06081f1-79a3-4df9-8e07-aa05994483e0","company_id":"26618e2f-35c7-42eb-8f60-bd25a7e9a0d2","title":"Senior Software Engineer, Fullstack (AI Advisor) ","slug":"senior-software-engineer-fullstack-ai-advisor-f42e4cf4","description":"Ready to be pushed beyond what you think you’re capable of?\n At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.\n To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.\n Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.\n While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.\n You will be joining a small technical team working with Brian Armstrong, Coinbase CEO, on developing consumer facing AI products.\n What you'll be doing: \n \n Design and build core services and interfaces that turn natural-language goals into safe, compliant Coinbase product workflows\n Implement risk and compliance guardrails directly into execution paths\n Work closely with many different product teams at Coinbase to externalize their features through AI-native experiences, ensuring consistency of concepts, style, and design\n Troubleshoot and debug complex fullstack issues, ensuring stability, reliability, and security\n Participate in code reviews and provide constructive feedback to maintain high code quality standards\n \n What we look for in you: \n \n 5+ years of experience in both backend and frontend software development\n Experience in Go and Typescript\n Experience in React/React Native\n Experience working cross-functionally with legal, security, compliance, and engineering teams.\n Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.\n \n Nice to haves: \n \n Familiarity with financial services, crypto, or high-growth tech environments is a plus\n Experience operating in startups, building products 0-1, and high agency / ownership\n Experience with financially regulated products, a plus\n Experience in applied AI (Foundational Models, Agents, RAG)\n \n Job #: P76043\n \n Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).\n Annual base salary range (excluding equity and bonus):\n $186,065 — $218,900 USD \n Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. \n Commitment to Equal Opportunity\n Coinbase is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. \n Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information.   For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here) .\n Global Data Privacy Notice for Job Candidates and Applicants \n Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data o","salary_min":186065,"salary_max":218900,"location":"Remote (US)","workplace":"remote","job_type":"full-time","experience_level":"senior","tags":["generative-ai","code-generation","backend","fullstack"],"apply_url":"https://www.coinbase.com/careers/positions/7604153?gh_jid=7604153","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-02-11T17:40:24Z","expires_at":"2026-06-27T14:10:28.528341Z","created_at":"2026-04-13T11:48:42.554819Z","updated_at":"2026-05-28T14:10:28.698988Z","company_name":"Coinbase","company_slug":"coinbase","company_logo_url":"https://www.google.com/s2/favicons?domain=www.coinbase.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e06081f1-79a3-4df9-8e07-aa05994483e0"},{"id":"0ff03ae8-ad24-4608-ad4f-52afd3ae0087","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Senior Software Engineer, Full Stack - New Verticals","slug":"senior-forward-deployed-engineer-503d418d","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. With 1500+ customers in 60+ countries, 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\nWe’re hiring a Senior Software Engineer, New Verticals to build new products and capabilities for the legal industry from first principles.\n\nThis is a deeply technical, end-to-end engineering role for someone who is excited to own ambiguous, high-leverage problems across the full stack. You will work on greenfield and early-stage product areas that span user-facing applications, backend services, data systems, document and knowledge pipelines, and agentic workflows. Depending on the problem, that may mean building production frontend experiences, designing APIs and services, modeling data, standing up ETL pipelines, improving retrieval and evaluation loops, orchestrating long-running agents, or shipping platform capabilities that make entirely new solution categories possible.\n\nYou will partner closely with customers, product, design, and other engineers to understand complex legal workflows and translate them into robust, scalable software. The goal is not just to deliver custom solutions, but to identify repeatable patterns and turn them into durable product and platform capabilities that can define new verticals for Harvey.\n\nThis role is hybrid, based in New York, NY and offers relocation assistance.\n\n\n\n\nHOW YOU WILL MAKE A 10X IMPACT\n\nHigh Beta: You understand that ambiguity and volatility are part of building new products. You can move from undefined problem spaces to concrete technical plans, test assumptions quickly, and adjust without attachment when the evidence changes.\n\nCustomer-Driven Engineering: You ground technical decisions in real user problems. You are excited to work directly with customers and internal partners, understand complex workflows in detail, and build systems that solve practical, high-value problems in production.\n\nRelentless Builder Mentality: You have a strong bias toward shipping. You know how to balance speed and rigor, and you are comfortable building the first version, learning from usage, and then improving architecture, reliability, and scale over time.\n\nStrong Technical Judgment: You can navigate tradeoffs across product, infrastructure, and data. You know when to invest in abstractions, when to keep things simple, and how to make systems that are both pragmatic in the short term and durable in the long term.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design and build production systems end-to-end across frontend applications, backend services, APIs, data models, and developer tooling.\n\n - Develop new vertical product capabilities involving document ingestion, workflow orchestration, retrieval, structured outputs, agent frameworks, and human-in-the-loop review flows.\n\n - Build and operate data-intensive systems, including ETL pipelines, analytical data models, serving layers, and interfaces for querying and exploring large datasets.\n\n - Work across a modern technical stack that may include Python, TypeScript, SQL, cloud infrastructure, agent orchestration engines, data processing platforms, and analytical databases.\n\n - Define service boundaries, schema design, and system architecture for new product areas with an emphasis on reliability, extensibility, and speed of iteration.\n\n - Ship customer-facing features quickly, then harden them for scale through observability, testing, performance tuning, and operational excellence.\n\n - Partner directly with customers and internal stakeholders to understand domain-specific workflows, map requirements into technical designs, and iterate rapidly on real usage.\n\n - Build evaluation, monitoring, and feedback systems that measure product quality in production and inform engineering and model decisions.\n\n - Contribute reusable platform patterns, abstractions, and internal tools so successful solut","salary_min":200000,"salary_max":260000,"location":"New York, NY","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["agents","cloud","data-pipeline","fullstack"],"apply_url":"https://jobs.ashbyhq.com/harvey/10900071-f75f-49da-bff7-7e9db5e9b1f9/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-02-09T21:50:18.541Z","expires_at":"2026-06-29T14:02:05.808029Z","created_at":"2026-04-13T09:37:53.125463Z","updated_at":"2026-05-30T14:02:05.928085Z","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/0ff03ae8-ad24-4608-ad4f-52afd3ae0087"},{"id":"5ea7567b-cdcf-4ee5-b932-eba5a5659528","company_id":"a0000000-0000-0000-0000-000000000001","title":"Senior Full Stack Engineer, Education","slug":"senior-full-stack-engineer-education-cb07e147","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n About the role\n Anthropic is seeking a Senior Full Stack Engineer to help build the technical foundation for how Anthropic educates customers and enterprises at scale, and to shape what that even means when AI is the delivery mechanism, not just the subject being taught.\n Your work will define how millions of people experience learning about Claude: how content is served and adapted in real time, how assessments respond to what a learner actually understands, how credentialing systems verify genuine competence rather than course completion, and how the entire platform evolves as fast as the product it teaches. You'll build the infrastructure that makes AI-native education real — not as a concept, but as a working system that people interact with every day.\n You’ll own the technical vision for our AI-driven educational experience: the platform layer, enterprise readiness features, the data architecture, the AI-augmented pipelines, the integrations, and the delivery systems. You'll work with a handful of highly technical educational collaborators to own the technical vision and execution for how Anthropic’s education team delivers educational experiences at scale, and you'll build the AI-augmented pipelines and platform capabilities that let a small team of educators operate with reach and responsiveness that would otherwise require an organization ten times larger.\n This is an engineering role for someone who genuinely cares about how people learn. You'll make platform decisions that are deeply educational, and you need the judgment to make those decisions well, not just implement someone else's spec. You'll interface closely with Anthropic's security, infrastructure, and data teams, and you'll partner with trainers and educators on the GTM, devrel, and education teams who will be your primary stakeholders.\n Responsibilities \n \n \n Architect and own Anthropic’s enterprise ready education platform and infrastructure — authentication/SSO, learner data models, content delivery, credentialing, and progress tracking — designed for scale, AI-forward features, and reliability from day one\n \n Own the technical vision for how Anthropic delivers AI-driven educational experiences and shaping what's possible, not just building what's requested. You’ll determine what to build, what to extend, and what to replace as needs evolve\n \n Build AI-augmented pipelines for content generation, real-time adaptation, assessment delivery, and quality assurance — working closely with the education team to understand what these systems need to do pedagogically\n \n Design platform capabilities that enable genuinely new kinds of empowering learning experiences — adaptive paths, competency-based progression, AI-evaluated demonstrations of skill — not just digital versions of traditional courses\n \n Interface with Anthropic's security, infrastructure, and data teams to ensure education systems meet organizational standards and integrate cleanly with existing architecture\n \n Build platform abstractions that let non-engineers on the team configure, extend, and experiment with educational experiences without engineering bottlenecks\n \n Make product-level decisions about how the platform works — you're shaping what the learning experience is, not just serving it\n \n You may be a good fit if you have \n \n \n 7+ years of software engineering experience, with demonstrated ability to take a platform from zero to production at scale\n \n Genuine passion for education — you think about how people learn, you have opinions about what educational technology should look like in an AI-native world, and you want to build it\n \n A strong eye for quality educational content, with a sense of the complex systems that produce it\n \n Full-stack engineering skills with particular strength in backend systems: databases, APIs, authentication, reliability, and infrastructure\n \n Experience building and operating platforms that serve many concurrent users reliably\n \n Comfort with ambiguity and ownership: you'll need to translate pedagogical intent into technical architecture without heavy specification\n \n Experience interfacing with security and infrastructure teams to meet organizational requirements while maintaining development velocity\n \n A working practice of using AI tools in your own engineering workflows — and genuine curiosity about how AI fundamentally changes what educational platforms can be\n \n Strong candidates may also have \n \n \n Experience building or significantly contributing to learning platforms, credentialing systems, or educational technology products\n \n Background in or exposure to learning scie","salary_min":300000,"salary_max":405000,"location":"San Francisco, CA","workplace":"hybrid","job_type":"full-time","experience_level":"senior","tags":["generative-ai","alignment","llm","fullstack","research"],"apply_url":"https://job-boards.greenhouse.io/anthropic/jobs/5098565008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-01-30T16:54:20Z","expires_at":"2026-06-29T14:00:23.934198Z","created_at":"2026-04-13T09:36:03.306702Z","updated_at":"2026-05-30T14:00:24.049558Z","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/5ea7567b-cdcf-4ee5-b932-eba5a5659528"}],"page":1,"per_page":20,"total":202,"total_pages":11}