{"access":{"advertiser_pricing_url":"https://aidevboard.com/pricing","catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"cec41a2d-61db-466d-97a8-9cfca9b8f6dd","company_id":"a0000000-0000-0000-0000-000000000003","title":"Staff Software Engineer, Full Stack - Gen AI ","slug":"staff-software-engineer-full-stack-gen-ai-014fb300","description":"Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.\n This is a horizontal, high-impact L6 Staff Fullstack Engineer \u0026 Architect position reporting directly to the Director of Contributor Engineering.\n Instead of being tied to a single domain, your scope is spread across all Contributor (CB) teams (including Allocation, Growth,  Trust \u0026 Safety, Pay, and Allocations). Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.\n You will act as an organizational architect and tech lead, dynamically embedding yourself into the highest-priority projects across the org to guarantee execution, unblock teams, and successfully ship mission-critical initiatives. Concurrently, you will lead the long-term technical evolution of our stack, transforming the core architecture to ensure it is highly sustainable, scalable, and fundamentally AI-native.\n You will:\n \n Deploy flexibly into critical, fast-moving product initiatives across the CB organization\n Lead the architectural overhaul of our platform infrastructure, making it highly sustainable, robust, and optimized for deep integration with LLMs and foundation models.\n Lead architecture decisions for scalability, reliability, and performance\n Mentor and uplevel engineers across the team\n Partner with product and leadership to shape roadmap and priorities\n Own large, ambiguous problem spaces end-to-end\n Work across backend, frontend, and ML systems\n \n Ideally you'd have: \n \n 7+ years of full-time engineering experience, post-graduation, with a proven track record of operating as a Tech Lead, Architect, or Principal Engineer.\n Track record of shipping high-quality products and features at scale\n Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies\n Proficient in Javascript/Typescript, and SQL\n Experience with Kubernetes\n Experience with major cloud providers (AWS, Azure, GCP)\n Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. \n Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:\n $252,000 — $315,000 USD \n PLEASE NOTE:  Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. \n About Us: \n At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst \u0026 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. \n We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  \n We are committed to wor","salary_min":252000,"salary_max":315000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["embeddings","llm","reinforcement-learning","generative-ai","fullstack"],"apply_url":"https://job-boards.greenhouse.io/scaleai/jobs/4713608005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T18:54:54Z","expires_at":"2026-08-15T14:01:46.947325Z","created_at":"2026-07-10T14:01:27.296205Z","updated_at":"2026-07-16T14:01:47.089807Z","company_name":"Scale AI","company_slug":"scale-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=scale.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/cec41a2d-61db-466d-97a8-9cfca9b8f6dd"},{"id":"81392512-84d3-4036-91ff-d2caaa3329d7","company_id":"3da82454-107f-427f-88e7-01f315ef93fb","title":"Member of Technical Staff - Full Stack Software Engineer","slug":"member-of-technical-staff-full-stack-9e4ea40d","description":"OWN YOUR INTELLIGENCE\n\n\n\nPrime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.\n\n\n\nOur platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.\n\n\n\nPrime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.\n\n\n\n\nROLE IMPACT\n\nThis is a generalist software engineering role focused on building the product surface of Prime Intellect - the developer-facing platform, APIs, and services that researchers and engineers around the world use to train and deploy frontier models. You'll own features end-to-end, from design through deployment and monitoring, and ship at the pace of an early-stage company tackling one of the most important problems in AI.\n\n\n\n\nCORE RESPONSIBILITIES\n\n - Build intuitive web interfaces for AI workload management and monitoring\n\n - Develop REST APIs and backend services in Python\n\n - Own features end-to-end, from design through deployment and operation\n\n - Create real-time monitoring and debugging tools for users of the platform\n\n - Implement user-facing features for resource management and job control\n\n - Deploy and operate services on cloud infrastructure\n\n - Contribute to internal tooling, automation, and developer experience improvements\n   \n   \n\n\nTECHNICAL REQUIREMENTS\n\n - Strong Python backend development (FastAPI, async)\n\n - Modern frontend development (TypeScript, React/Next.js, Tailwind)\n\n - Experience building developer tools, dashboards, or platform products\n\n - RESTful API design and implementation\n\n - Comfortable working with cloud platforms (GCP a plus) and containerized deployments\n\n - A bias toward shipping, ownership of production code, and pragmatic engineering judgment\n\n - Infrastructure automation experience (Ansible, Terraform, Kubernetes)\n\n\n\n\nNICE TO HAVE\n\n - Interest in or exposure to ML/AI workloads\n\n - WebSocket / real-time systems experience\n\n - Open-source contributions\n\n - Observability tooling (Prometheus, Grafana)\n\n - Prior experience at an early-stage startup\n   \n   \n\n\nWHAT WE OFFER\n\n - Cash compensation range of $150–300k with significant equity incentives\n\n - Flexible work arrangement (remote or San Francisco office)\n\n - Full visa sponsorship and relocation support\n\n - Professional development budget for courses and conferences\n\n - Regular team off-sites and conference attendance\n\n - Opportunity to shape the future of open AI development\n   \n   \n\n\nGROWTH OPPORTUNITY\n\nYou'll join a team of experienced engineers and researchers working on cutting-edge problems in AI infrastructure. We believe in open development and encourage team members to contribute to the broader AI community through research and open-source contributions.\n\nWe value potential over perfection - if you're a strong generalist engineer who is passionate about democratizing AI development, we want to talk to you.\n\nReady to help shape the future of AI? Apply now and join us in our mission to make powerful AI models accessible to everyone.","salary_min":150000,"salary_max":300000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["cloud","api-design","agents","fullstack"],"apply_url":"https://jobs.ashbyhq.com/PrimeIntellect/c074bdd9-bee2-4ee9-ae03-aa8f7537682c/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-08T18:45:08.431Z","expires_at":"2026-08-15T14:10:46.755583Z","created_at":"2026-04-13T15:01:32.563487Z","updated_at":"2026-07-16T14:10:46.881494Z","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":"fe268311-fb55-4df2-a540-001aedd0fb51","company_id":"1f4520df-9fc1-4ace-a80b-6c3266f03e8a","title":"Software Engineer, Full Stack, Tinker","slug":"software-engineer-full-stack-tinker-53eb5109","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.\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","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["payments","pytorch","distributed-systems","fine-tuning","api-design","infrastructure","fullstack"],"apply_url":"https://job-boards.greenhouse.io/thinkingmachines/jobs/5290314008","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-02T17:24:57Z","expires_at":"2026-08-15T14:18:46.683226Z","created_at":"2026-07-03T14:17:10.780043Z","updated_at":"2026-07-16T14:18:46.813038Z","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/fe268311-fb55-4df2-a540-001aedd0fb51"},{"id":"51b69e5f-b259-4b73-b300-00d048262367","company_id":"7455e78c-482b-4f7b-9d62-11b78645818a","title":"Software Engineer II - Full Stack","slug":"software-engineer-ii-full-stack-4a15f69d","description":"About the Role \n At Abnormal AI, our mission is to protect the world’s largest enterprises from advanced email and collaboration attacks. The Threat Narrative team transforms complex signals from our detection systems into clear, actionable stories that help customers understand the attacks we stop and the value of our platform.\n As a Software Engineer, Fullstack on the Threat Narrative team, you will help build the next generation of email-centric narrative experiences across Email Details and Threat Narrative views, with a focus on clearly communicating Abnormal detections to customers. You will work closely with GenAI and LLM-powered systems that distill thousands of low-level detection features and signals into concise, trustworthy explanations that customers can immediately act on. You will implement fullstack features end-to-end, from backend APIs and data contracts through to performant, intuitive UIs in the customer portal and internal tools that surface these explanations in the right context. Your work will directly shape how customers perceive Abnormal’s detection quality and how they reason about threats at scale. This role is ideal for an engineer who enjoys owning well-scoped systems, learning from senior partners, and combining strong engineering fundamentals with product intuition and storytelling.\n What you will do  \n \n Design and implement fullstack features across Threat Narrative and Email Details surfaces, including customer portal components, internal analyst tools, and QBR-facing outputs, with guidance from senior engineers.\n Implement and evolve APIs and services that generate enriched narratives from attack data, enrichment signals, and GenAI/LLM agents, following established contracts and patterns.\n Contribute to data models and explainability contracts that make complex threat decisions more understandable to customers and internal analysts.\n Write high-quality, well-tested Python/Django and React/Typescript code, focusing on correctness, performance, and maintainability.\n Participate in owning SLAs/SLOs, observability, and incident response for Threat Narrative and Email Details services by building and improving dashboards, alerts, and runbooks in the areas you own.\n Collaborate closely with Product, CS, GTM, Threat Intel, Detection, and DS partners to ensure narrative experiences clearly communicate attack context, value, and outcomes for customers.\n Engage in design and code reviews, learn from more senior engineers, and surface opportunities to simplify, derisk, and improve existing systems.\n \n   \n Must Haves \n \n 2+ years of professional, production-level software engineering experience, with a track record of shipping and operating fullstack web applications in cloud-native environments.\n Proficiency in Python and Django (or a similar backend framework), and comfort working with Postgres or similar relational databases.\n Experience building modern frontend applications with React and Typescript, including data-heavy or workflow-centric UIs.\n Ability to design and work with well-structured APIs and data models for data-intensive applications, with attention to correctness and evolvability.\n Experience using metrics, logging, and tracing to debug production issues and understand user behavior in at least one prior system.\n Strong collaboration and communication skills, including working effectively with Product and partner engineering teams to translate requirements into clear technical tasks.\n Experience with AI development tools.\n Bachelor’s degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience.\n \n   \n Nice to Have  \n \n Experience building or integrating LLM/GenAI-powered features (e.g., prompt design, simple agents, or explainability) in production or pre-production systems.\n Familiarity with cybersecurity data, threat intelligence, or detection systems, especially in the context of email and collaboration security.\n Exposure to big data and batch processing technologies (e.g., Spark, Databricks, Airflow, Kafka) used to power analytics, narratives, or offline enrichment.\n Experience collaborating on multi-team initiatives and contributing to shared components, data contracts, or cross-surface UX.\n \n #LI-ML1\n  \n Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.\n Base salary range:\n $149,200 — $214,500 USD \n AI and our hiring process Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy i","salary_min":149200,"salary_max":214500,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"junior","tags":["llm","security","generative-ai","fullstack"],"apply_url":"https://abnormal.ai/careers/jobs/7786309003?gh_jid=7786309003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-30T19:33:16Z","expires_at":"2026-08-15T14:04:20.008146Z","created_at":"2026-07-01T14:03:44.61491Z","updated_at":"2026-07-16T14:04:20.148333Z","company_name":"Abnormal Security","company_slug":"abnormal-security","company_logo_url":"https://www.google.com/s2/favicons?domain=abnormalsecurity.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/51b69e5f-b259-4b73-b300-00d048262367"},{"id":"c83963e9-656c-40b3-a3b2-1363cdd62f0a","company_id":"f0c85993-fd53-4228-8ce3-b758284c4ecf","title":"Frontend Full Stack Staff Software Engineer, AI Platform Experiences","slug":"frontend-full-stack-staff-software-engineer-ai-platform-experiences-58e3b12b","description":"About Gusto \n At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.\n   All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy .\n   AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.\n Location Preference for this role are: San Francisco Bay Area, New York City Metro, or Seattle Metro\n About the Role \n We're hiring an experienced full stack engineer to help small businesses work better with AI. You'll build Gus, Gusto's AI-powered assistant, and create scalable solutions that serve millions of users. As a Software Engineer at this level, you'll own projects end-to-end from initial specs to deployed features—working at the intersection of modern AI capabilities and real business needs.\n About the Team \n The Core Experience - AI Experiences team owns Gus, Gusto's AI-powered assistant, and the platform that enables teams across Gusto to deliver AI-native experiences to customers across web, mobile, voice, email, and agent-based channels. You'll work within Gusto's AI platform infrastructure, collaborating closely with sister teams who own the underlying agent framework. Your focus is building experiences and enabling product teams to extend and scale within the platform.\n This work is directly tied to Gusto's top priorities. We operate with fast iteration cycles, deep cross-functional collaboration, and high ownership.\n Here's what you'll do day-to-day: \n \n Architect, build, and test technologies supporting AI experiences within Gusto's product suite\n Create standardized, self-serve patterns that enable product teams to extend Gus across web, voice, email, and agent-based experiences\n Collaborate with ML and product teams on prompt engineering, clarifying question flows, and escalation logic—using A/B tests and data to drive improvements\n Mentor engineers on complex technical challenges in AI, scalability, and platform infrastructure\n Help scale a large Ruby/Rails and React application serving millions of users\n Work with Product, Design, Security, and Technical Operations teams to understand customer needs, develop solutions, and launch features\n Build customer-facing products end-to-end that customers rely on every day\n \n Here's what we're looking for: \n \n 8+ years of software development experience, with 4+ years building scalable platforms or high-impact customer-facing products\n Strong foundation in front-end engineering and modern web technologies (Ruby on Rails, React, GraphQL, or similar full-stack frameworks) with ability to build well-structured, maintainable code\n Track record of owning multi-quarter projects that solve complex engineering problems and deliver measurable customer impact at scale\n Experience building internal platforms or developer-facing infrastructure that enables other teams to self-serve and ship AI-powered features\n Excellent cross-functional communication skills with ability to mentor engineers and collaborate effectively across teams and stakeholders\n Product-minded, customer-facing engineering approach with passion for creating great customer experiences and ownership over performance, reliability, and quality\n Bonus if you have AI platform development experience or strong learning orientation toward AI technologies, patterns, and frameworks (orchestration, evals, prompt systems—not ML model development)\n \n Our cash compensation amount for this role is targeted at $163,000-$204,000 in Denver, $178,000-$223,000 for Los Angeles and most remote locations, $197,000-$247,000 for San Francisco, New York, and Seattle. Final offer amounts are determined by multiple factors including candidate experience, level, and expertise and may vary from the amounts listed above.\n \n Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. \n Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. \n When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connec","salary_min":197000,"salary_max":247000,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["agents","api-design","fullstack","frontend"],"apply_url":"https://job-boards.greenhouse.io/gusto/jobs/7732015","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-12T17:40:36Z","expires_at":"2026-08-15T14:10:32.291458Z","created_at":"2026-06-28T14:09:30.720062Z","updated_at":"2026-07-16T14:10:32.426204Z","company_name":"Gusto","company_slug":"gusto","company_logo_url":"https://www.google.com/s2/favicons?domain=gusto.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c83963e9-656c-40b3-a3b2-1363cdd62f0a"},{"id":"87db4a95-7779-4faa-a496-71dde0a13f68","company_id":"10c1ac82-83d5-423a-b438-4cc7b13d597c","title":"Senior Fullstack Engineer, Growth \u0026 Monetization","slug":"senior-fullstack-engineer-growth-monetization-ba28938b","description":"ABOUT US\n\n\n\nAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.\n\nWith $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.\n\nToday, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.\n\n\n\n\n\nAbout the Team\n\nThe Growth \u0026 Monetization team focuses on how developers discover, adopt, and scale with LangChain’s products. We work across the full stack to improve onboarding, activation, and usage while building the systems that power billing, pricing, and monetization. This team partners closely with product, design, and go-to-market teams to understand developer behavior and translate those insights into product improvements that drive adoption and revenue. Our work directly shapes how developers and organizations move from experimentation to production on the LangChain platform.\n\n\n\nAbout the role\n\nLangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City, San Francisco, or Boston.\n\n\n\nWhat you'll do\n\n - Work across our stack (React, TypeScript, Python, Go) to deliver full-stack product features that drive growth and retention\n\n - Build flexible experimentation systems and processes capable of targeting diverse growth metrics\n\n - Participate in data-driven, rapid growth experiments across the user funnel from onboarding to monetization\n\n - Design and ship new onboarding features and improvements that accelerate time to value\n\n - Build growth levers including usage-based guardrails, smart upgrade triggers, and contextual CTAs\n\n - Collaborate closely with product, design, GTM, and analytics teams to identify, prioritize, and execute high-impact growth opportunities\n\n\n\nWhat you'll bring\n\n - Extensive fullstack software development experience using React, TypeScript, and Go and/or Python\n\n - Strong product intuition and a track record of working on monetization, pricing, or activation features\n\n - Familiarity with usage metering, subscriptions, and internal tooling for pricing experiments\n\n - Comfortable working with REST APIs, Postgres, Redis, and modern backend infra\n\n - Startup DNA with the ability to thrive in fast-paced, zero-to-one environments\n\n - Self-directed with an ownership mindset\n\n - Bonus: Experience building for developers or product-led growth platforms\n\n - Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks\n\n\n\nCompensation\n\n - Salary Range: $175,000-$240,000 USD\n\nCompensation Philosophy:\n\nWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.\n\n\n\n\nBENEFITS\n\nBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.","salary_min":175000,"salary_max":240000,"location":"New York, NY","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","agents","api-design","payments","generative-ai","fullstack"],"apply_url":"https://jobs.ashbyhq.com/langchain/f07bfbad-6daf-4b11-b5bb-2c3bbc47c53c/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-10T21:02:36.17Z","expires_at":"2026-08-15T14:02:13.702327Z","created_at":"2026-06-28T14:01:58.218965Z","updated_at":"2026-07-16T14:02:13.817111Z","company_name":"LangChain","company_slug":"langchain","company_logo_url":"https://www.google.com/s2/favicons?domain=langchain.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/87db4a95-7779-4faa-a496-71dde0a13f68"},{"id":"0dc3ddfd-5ca1-4212-b3e0-4420bb5db8d5","company_id":"cdfdd46b-1613-4bc5-8d9b-0da22cf3f094","title":"Growth Engineer (Full Stack)","slug":"growth-engineer-full-stack-c454efa7","description":"Growth Engineer (North America)\n\n\n\n🎯 About the Role\n\nWe're looking for a Growth Engineer to be the engineering counterpart to our Growth PM — the person who actually ships the onboarding flows, paywalls, experiments, instrumentation, and lifecycle integrations that move our most important numbers. You'll write production code across our full stack, but your unit of work isn't \"tickets\" — it's user activation, free-to-paid conversion, retention, and channel-level efficiency.\n\nThis is a high-leverage moment to join. We grew revenue 7x last year, we're launching OpenArt Director (our new \"vibe directing\" category), and we're expanding into Brazil, India, and Europe. The growth surface area is enormous and almost none of it has been seriously engineered yet.\n\nYou'll sit with the Growth PM, the Growth Designer, and our marketing and lifecycle leads — in person, in the Bay Area — and report into the founders.\n\n\n🎨 ABOUT OPENART\n\nOpenArt is a leading AI Creative Platform for visual storytelling, used by millions worldwide. We're building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, images, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we're shaping that future.\n\n\n🚀 WHY JOIN OPENART\n\n - Real growth leverage. Millions of users, fast-growing revenue, and a paywall and onboarding that haven't been seriously engineered yet. Big numbers to move.\n\n - You ship, not spec. Growth Engineering at OpenArt is a builder role. You own features end to end — design partnership, code, experiment readout, follow-up.\n\n - Category-defining product launches. OpenArt Director, global expansion, and new model capabilities — all need a growth engineer from day one.\n\n - Hyper-growth and huge market opportunity. OpenArt is growing fast (7x revenue growth last year) and is one of the leaders in an exploding new product category.\n\n - High ownership, low process. We value judgment, clarity, and speed over bureaucracy.\n\n - Founder-led engineering culture. Both founders are technical and deeply involved in product and architecture. You'll get sharp code review and real engineering partnership at the top.\n\n\n🧩 REQUIREMENTS\n\n - 4+ years of full-stack product engineering at a consumer or pro-sumer company, with at least some of that time embedded with a growth, monetization, or onboarding team\n\n - Strong with our stack or close adjacents: TypeScript, Next.js, React, Node, Postgres, running on a major cloud (we're on Google Cloud Platform)\n\n - You've shipped paywalls, pricing experiments, onboarding flows, or lifecycle integrations that moved a real number — and you can walk through the implementation choices and what you learned\n\n - Comfortable owning a feature end to end: schema, backend, frontend, instrumentation, experiment setup, rollout, and post-launch iteration\n\n - Solid instrumentation instincts. You know how to design events that survive contact with a real funnel analysis six months later, and you've worked with tools like Amplitude, Stripe, Meta Pixel, Meta Conversions API (CAPI), and Google Analytics 4 (GA4)\n\n - Comfortable in data analysis — you can pull your own numbers and don't wait for someone else to confirm whether your experiment moved the metric\n\n - Strong product instincts. You can look at a funnel, talk to a few users, and form your own view on what to build next — and push back when the spec is wrong\n\n - Bias to speed. You'd rather ship a clean V1 behind a flag today than a perfect V3 in three weeks\n\n - Demonstrate an AI-native approach to daily workflows by effectively leveraging AI tools to improve productivity, creativity, and decision-making.\n\n\n🌟 NICE TO HAVE\n\n - Experience with experimentation platforms (such as LaunchDarkly)\n\n - Stripe depth — subscriptions, webhooks, invoicing, customer portal, Adaptive Pricing, and the joys of off-cycle charges\n\n - Attribution work — Meta CAPI with deduplication, server-side events, post-purchase surveys, position-bias-aware survey design\n\n - Lifecycle tooling — Customer.io http://Customer.io, Iterable, Braze, or similar, and the data-pipeline work behind them\n\n - Programmatic Search Engine Optimization (SEO) — generating large numbers of high-quality landing pages from structured data, and the headless content management system (CMS) work that goes with it (Strapi or similar)\n\n - Internationalization (i18n), regional payment integrations (Pix, UPI, KOMOJU, TapPay, ECPay), and the realities of shipping to non-English markets\n\n - Background in consumer AI or generative AI products\n\n - Creative tools / design software background (Adobe, Canva, Figma, or adjacent)\n\n - You've been an early growth engineering hire before and know how to build the function as you go\n\n\n🛠 WHAT YOU'LL DO\n\n - Make onboarding the strongest part of the funnel. Build per-channel onboarding where it matters — different flows for paid, o","salary_min":300000,"salary_max":400000,"location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["payments","generative-ai","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":"2026-06-05T05:22:29.433Z","expires_at":"2026-08-15T14:21:42.999483Z","created_at":"2026-05-15T14:21:40.328316Z","updated_at":"2026-07-16T14:21:43.214989Z","company_name":"OpenArt","company_slug":"openart","company_logo_url":"https://www.google.com/s2/favicons?domain=openart.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/0dc3ddfd-5ca1-4212-b3e0-4420bb5db8d5"},{"id":"30d8f444-7af0-4761-9670-d9133ee1e7bb","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Staff Fullstack Engineer, Agentic Applications","slug":"staff-fullstack-engineer-agentic-applications-f3bb9a2c","description":"P-1477\n Databricks is transforming how it builds and operates People Technology — moving from traditional SaaS configuration toward an AI-native, agentic stack. You'll be the technical anchor of the People Tech pod, driving the architectural shift from workflow automation to autonomous, multi-agent systems that power HR, recruiting, workforce analytics, and employee experience at scale. This is a rare opportunity to reimagine a critical enterprise domain from the ground up using the very data and AI platform Databricks sells to the world.\n What you'll do \n \n Architect and build agentic systems that automate and augment People Tech workflows — onboarding, offboarding, comp analysis, policy Q\u0026A, HR service delivery — using LLM orchestration frameworks (LangGraph, AutoGen, or equivalent).\n Define the agentic platform strategy for the pod: agent design patterns, tool-calling conventions, retrieval-augmented pipelines, evaluation frameworks, and human-in-the-loop guardrails.\n Integrate People Tech systems (Workday, Greenhouse, ADP etc.) as agent-accessible tools and data sources via Databricks Unity Catalog and MCP-style interfaces.\n Set the technical bar for the pod — reviewing designs, establishing engineering standards, and leading architectural reviews across the People Tech roadmap.\n Influence peers and stakeholders: translate agentic capability into business outcomes for People, Legal, and Finance partners, and mentor engineers in the pod on AI-first thinking.\n \n What we're looking for \n \n 8+ years of software engineering experience, with at least 2 years building production LLM or agentic applications (agents, RAG pipelines, tool-use, multi-agent orchestration).\n Deep fluency in Python and experience with agentic frameworks — LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar.\n Strong command of enterprise integration patterns: REST/GraphQL APIs, event-driven architecture, and connecting SaaS HR/HCM platforms programmatically.\n Experience with data platforms — Databricks, Spark, or equivalent — and building AI applications on top of lakehouse or warehouse architectures.\n Track record as a technical lead: driving architectural decisions, writing RFCs, and raising the quality bar across a team without relying on management authority.\n \n Nice to have \n \n Prior experience in People Tech, HR tech, or internal tooling domains.\n Familiarity with Workday, Greenhouse or similar enterprise HR platforms — especially via API or integration layer.\n Experience evaluating and red-teaming LLM agents for safety, reliability, and correctness in sensitive business contexts.\n  \n Pay Range Transparency \n Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . \n  \n Local Pay Range\n $192,000 — $260,000 USD \n About Databricks \n Databricks is the data and AI company. More than 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 inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.\n Compliance \n If access to export-controlled technology or source code is required for performance of job duties, it is within Employer'","salary_min":192000,"salary_max":260000,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["rag","llm","agents","data-pipeline","api-design","fullstack"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8220840002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-04T17:25:54Z","expires_at":"2026-08-15T14:02:33.929059Z","created_at":"2026-06-28T14:02:14.932404Z","updated_at":"2026-07-16T14:02:34.041025Z","company_name":"Databricks","company_slug":"databricks","company_logo_url":"https://www.google.com/s2/favicons?domain=databricks.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/30d8f444-7af0-4761-9670-d9133ee1e7bb"},{"id":"f18a9045-c453-4617-84c9-63c285e45fbc","company_id":"65bce624-56a0-4c48-8e69-eda588090849","title":"Full Stack Engineer, AgentControl","slug":"full-stack-engineer-agentcontrol-9ca8eb11","description":"About the Job: \n As a Full Stack Engineer on LaunchDarkly’s AgentControl team, you'll build critical systems such as the web application that customers interact with on a daily basis and distributed systems that power AI evaluations at scale. These systems enable customers to control, monitor, and optimize their agent’s functionality. You’ll primarily work in Go, Python, and Typescript and will work directly with other technologies and tools such as AWS, CockroachDB, 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","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["llm","cloud","fine-tuning","distributed-systems","generative-ai","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":"2026-08-15T14:18:12.367654Z","created_at":"2026-05-28T14:18:25.498364Z","updated_at":"2026-07-16T14:18:12.486677Z","company_name":"LaunchDarkly","company_slug":"launchdarkly","company_logo_url":"https://www.google.com/s2/favicons?domain=launchdarkly.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f18a9045-c453-4617-84c9-63c285e45fbc"},{"id":"c9152f5f-5e3a-41ce-9074-296a20141fa5","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Staff Software Engineer, Full Stack - NYC","slug":"staff-software-engineer-full-stack-new-verticals-0ecdc7f3","description":"WHY HARVEY\n\nAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.\n\nThis is a rare chance to help build a generational company at a true inflection point. 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\nAs a Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.\n\n\n\n\n\n\n\nWHAT YOU'LL DO\n\n - Retrieval over peta-byte scale documents\n\n - Organizational-level interfaces to collaborate with AI\n\n - Managing dedicated GPU capacity across 5+ regions\n\n - 1000-step planning agents that help take companies public\n\n - Government-level security for the world's most sensitive matters\n\n - Evaluating LLMs across a 10k+ leaf taxonomy of tasks\n\n - Internet-scale data collection from over 50+ jurisdictions\n\n\n\n\n\n\n\nWHAT YOU HAVE\n\n - 6+ YoE (post-BS/MS) in a product focused full-stack software engineering role.\n\n - Track record of building fast-growing SaaS products by leveraging PWA technologies.\n\n - Track record of shipping highly intuitive products, strong attention to detail.\n\n - Experience building backend platforms that can support multiple product lines.\n\n - Strong programming skills and general Computer Science knowledge.\n\n - Grit - experience working at early-stage startups is a plus.\n\n\n\n\nCOMPENSATION RANGE\n\n$238,000 -$290,000 USD\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\n\n\n\n\n#LI-SB1\n\n\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai","salary_min":238000,"salary_max":290000,"location":"New York, NY","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"lead","tags":["llm","agents","generative-ai","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":"2026-08-15T14:02:44.007405Z","created_at":"2026-05-15T14:02:18.633082Z","updated_at":"2026-07-16T14:02:44.122469Z","company_name":"Harvey AI","company_slug":"harvey-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=harvey.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/c9152f5f-5e3a-41ce-9074-296a20141fa5"},{"id":"5578f55a-c18e-4852-9a22-2c95c57e34e6","company_id":"4c0fefc3-173a-4227-a823-4d67d3e70ff0","title":"Senior Software Engineer, Fullstack","slug":"senior-software-engineer-fullstack-4b8e8bb7","description":"Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.\n Our base salary range is $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","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["robotics","agents","healthcare","fullstack"],"apply_url":"https://job-boards.greenhouse.io/thealleninstitute/jobs/7872642","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-02T04:33:13Z","expires_at":"2026-08-15T14:18:06.697637Z","created_at":"2026-05-06T14:23:24.771293Z","updated_at":"2026-07-16T14:18:06.822922Z","company_name":"Allen Institute for AI","company_slug":"allen-institute-for-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=allenai.org\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/5578f55a-c18e-4852-9a22-2c95c57e34e6"},{"id":"74977f06-2f4d-4ac2-b100-473b5085a8fb","company_id":"f883ba7c-f4e6-4f8e-bdcf-58c31ed3e3b4","title":"Senior Full Stack Software Engineer","slug":"senior-full-stack-software-engineer-cdf4711a","description":"Vivodyne creates human data before clinical trials. \n We accelerate the successful discovery, design, and development of human therapeutics by testing on large, lab-grown human organ tissues at massive scale, driving technological advancement at the convergence of novel biology, robotics, and AI. We identify and validate new therapeutic targets and de-risk new therapeutic assets by producing clinically translatable multi-omic data from our proprietary, physiologically-realistic human organ tissues at unprecedented scale, speed, and quality. This enables us to produce more human data than all clinical trials in the U.S. combined. We’re financially backed by some of the most selective and successful venture funds, and we have already partnered with a majority of the top 10 multinational pharmaceutical companies to discover and develop better, safer drugs and dramatically reduce the burden of animal testing.\n www.vivodyne.com \n \n Role \n We’re looking for an exceptional Senior Full-Stack Software Engineer to work hand in hand with our Product team to build polished, high-performance web applications using React with FastAPI on the backend and Postgres as a database.\n The ideal candidate leads with deep frontend expertise in building sophisticated, stateful UIs in React/TypeScript, while bringing enough backend fluency to own features end-to-end. You'll build rich, data-dense interfaces for scientific workflows where getting the interaction design and state management right is the hard part. Additionally, the ideal candidate is an 'AI native' and uses their strong technical expertise to augment the prototyping speed provided by LLMs. You'll ship deliverables in days, not months, and have a sharp instinct for system architectures that achieve rapid delivery and robust performance.\n You will be a core contributor to shaping our next-generation biotech platform that discovers and tests new drugs on lab-grown human tissues.\n Own the building of scientific experiment design and results-monitoring tools that, together with our platform, have enabled Vivodyne to partner with a majority of the top-10 pharmaceutical companies in making better, safer cures to complex human diseases. You will be expected to deliver web applications that align with well-designed frames/user flows and product requirements that help scientists interact seamlessly with our unique datasets, robotic systems, and lab-grown tissues.\n You’ll have the opportunity to work at the cutting edge of biotech and software engineering, collaborating with teams spanning tissue engineering, robotics, and AI. You'll be working a few feet away from large precision robots, laser microscopes, and robot arms, surrounded by an exceptionally talent-dense team of experts from multiple scientific disciplines.\n You will be able to focus on building internal products and tools with incredible functionality, surrounded by sophisticated end users directly appreciative of the products you build---without needing to do integration testing for first-gen Chromebooks or handle bug reports from Fire tablets.\n While bringing a passion and exquisite skill for building and shipping high-quality applications that drive scientific discovery, you'll be involved firsthand in the advancement of human health, you'll watch thousands of human organ tissues grow before your eyes, and join an intense, fun, fast-moving team in shaping the future of human health.\n Responsibilities \n Frontend-Led Full-Stack Development — Architect and build complex React/TypeScript interfaces for scientific workflow applications; own backend integration points via API design and data layer work in Postgres.\n User Experience — Create clean, responsive, and user-focused interfaces that translate complex requirements into intuitive designs, establishing best practices for component architecture and state management patterns.\n Code Quality \u0026 Best Practices — Write well-tested, maintainable code with a focus on scalability, performance, and cost-efficiency.\n Collaboration \u0026 Communication — Work closely with scientists, engineers, and AI researchers to gather requirements, provide updates, and deliver impactful solutions.\n High Velocity / AI Accelerated Development — Leverage leading language models and agentic tools like Claude Code and Codex, or similar to ship reliable code quickly; maximize prototyping and component design velocity while balancing robustness of implementations\n Requirements and Expectations \n Technical Excellence\n \n Deep expertise in React, TypeScript, and modern frontend architecture (component composition, state management, performance profiling). \n Proficient in building visually appealing, high-performance React applications.\n Strong CSS/styling architectural skills (CSS modules, Tailwind etc.)\n Strong data modeling skills for biotech applications, translating scientific needs into structured schemas.\n Comfortable in API design, schema definition, and query optimization with ","salary_min":204400,"salary_max":285600,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["api-design","cloud","agents","healthcare","robotics","llm","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":"2026-08-15T14:11:35.238925Z","created_at":"2026-04-30T05:53:08.037499Z","updated_at":"2026-07-16T14:11:35.363622Z","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":"2348f3d9-e5f5-42ef-9c14-e207ec889536","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Staff Software Engineer, Fullstack - AI Product (NYC)","slug":"staff-software-engineer-ai-product-nyc-a4b23620","description":"P-1607 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 solve 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 one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data \u0026 AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.   \n The impact you'll have: \n \n Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency\n Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user \u0026 business growth\n Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences\n Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities\n Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers\n Establish best practices within the team \u0026 Databricks more widely for building valuable, AI products\n \n What we look for: \n \n 10+ years of experience with HTML, CSS, and JavaScript\n Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback.\n You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app\n High ownership and bias for action in 0→1 environments : you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption.\n Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.  \n Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember)\n 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go)\n Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component\n Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value\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 $190,900 — $253,750 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 inclusive and meet equal employment opportunity standards. Individuals looking for","salary_min":190900,"salary_max":253750,"location":"New York, NY","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["generative-ai","agents","data-pipeline","fullstack"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8509534002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-16T03:20:38Z","expires_at":"2026-08-15T14:02:35.674707Z","created_at":"2026-04-16T11:06:02.013867Z","updated_at":"2026-07-16T14:02:35.803528Z","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/2348f3d9-e5f5-42ef-9c14-e207ec889536"},{"id":"711ab864-6ce0-4544-8506-4400ddaa7dd6","company_id":"a0000000-0000-0000-0000-000000000001","title":"Senior Software Engineer, Full-stack","slug":"software-engineer-full-stack-6da2683a","description":"About Anthropic \n Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\n \n About the role\n \n Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. \n \n \n What you'll do:\n Developer Experience: You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.\n Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.\n Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:\n \n Financial Services — analysts and bankers across investment banking, asset management, insurance, and corporate finance, building models, memos, and decks under deadline. We're building deeply integrated experiences inside the tools they already use — retrieval, analysis, and document generation that holds up to executive review.\n Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast.\n Healthcare — spanning payer workflows like claims, prior authorization, and utilization management, as well as clinical applications. Work where accuracy isn't a feature, it's the whole product — and where compliance is part of the engineering.\n \n Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:\n \n Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.\n Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.\n Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from \"Claude answers when asked\" to \"Claude notices what you need\".\n \n Public Sector: Build products that deliver Claude to the U.S. federal \u0026 state governments and","salary_min":320000,"salary_max":320000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["healthcare","llm","agents","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":"2026-08-15T14:00:35.532302Z","created_at":"2026-04-13T09:36:05.01173Z","updated_at":"2026-07-16T14:00:35.702451Z","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 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 across investment banking, asset management, insurance, and corporate finance, building models, memos, and decks under deadline. We're building deeply integrated experiences inside the tools they already use — retrieval, analysis, and document generation that holds up to executive review.\n Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast.\n Healthcare — spanning payer workflows like claims, prior authorization, and utilization management, as well as clinical applications. Work where accuracy isn't a feature, it's the whole product — and where compliance is part of the engineering.\n \n Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:\n \n Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.\n Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.\n Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from \"Claude answers when asked\" to \"Claude notices what you need\".\n \n Public Sector: Build products that deliver Claude to the U.S. federal \u0026 state governments and","salary_min":405000,"salary_max":485000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","healthcare","agents","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":"2026-08-15T14:00:40.479024Z","created_at":"2026-04-13T09:36:06.892023Z","updated_at":"2026-07-16T14:00:40.596499Z","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":"dcdbbbb9-7445-40f7-b683-b2ef574bf491","company_id":"75f38274-c5f0-417d-92f4-bd42624e749e","title":"Senior Full Stack Software Engineer, Platform","slug":"senior-full-stack-software-engineer-platform-8ac2fcf3","description":"Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core. \n Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics. \n Role\n As a Senior Full Stack Platform Software Engineer, you and the team will own the design and implementation of a distributed cloud and on-premises system that enables users across the world to develop new robotics capabilities, share them with the community, and build and deploy real-world automation solutions. Your work will be a hub and central enabler for many other teams, partners, and users. To be successful, you will need to have an eye for architecture and interface design, be comfortable diving into and working in complex systems, and be excited to expand your experience into new areas of cloud and real-time computing and robotics software and hardware.\n How your work moves the mission forward\n \n Conceive of, design, and build a new way of creating and deploying automation solutions that leverages modern computing technologies.\n Build and support a community of developers that collaborates to create the next generation of robotic capabilities.\n Ground our platform in real-world, end-to-end applications that deploy robotic hardware in industrial settings.\n Collaborate with a team of experienced professionals in modern software development practices.\n Coordinate software development efforts across cross-functional and geographically distributed teams.\n \n Skills you will need to be successful\n \n Bachelor's degree in Computer Science, Robotics, or related field.\n A minimum of 5 years of professional working experience coding in Go, C++, Python in team-based development environments, including design review, documentation, testing, and version control.\n Full stack development experience, including building server-side (e.g., Go, C++) and client-side (e.g., TypeScript/Javascript) layers and using modern web frameworks (e.g., Angular).\n Cloud development experience (e.g., Kubernetes, gRPC, Protobuf, GCS, Firebase, Spanner, BigQuery).\n Self-directed learning of complex systems; eagerness to work and learn outside of current areas of expertise.\n Excellent written and verbal communication skills; ability to clearly and concisely explain problems and solutions to both technical and non-technical audiences.\n Ability to collaborate effectively with cross-functional teams.\n \n Skills that will differentiate your candidacy\n \n Experience with and broad understanding of modern approaches to industrial robotic automation.\n Experience with ROS.\n Software architecture and interface design.\n Security engineering.\n \n The base salary for this full-time position is between $174,400 - $237,800 (USD) + 15% bonus + equity + benefits. Your recruiter will share more about the specific salary range + bonus + equity for your targeted location and role during the hiring process. \n At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.\n If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.","salary_min":174400,"salary_max":237800,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","api-design","security","robotics","fullstack","platform"],"apply_url":"https://boards.greenhouse.io/intrinsicrobotics/jobs/5832787004?gh_jid=5832787004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-24T17:04:36Z","expires_at":"2026-08-15T14:07:59.702543Z","created_at":"2026-04-13T09:43:24.659401Z","updated_at":"2026-07-16T14:07:59.833599Z","company_name":"Intrinsic","company_slug":"intrinsic","company_logo_url":"https://www.google.com/s2/favicons?domain=intrinsic.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/dcdbbbb9-7445-40f7-b683-b2ef574bf491"},{"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","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["llm","microservices","agents","fine-tuning","search","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":"2026-08-15T14:04:41.400913Z","created_at":"2026-04-13T09:39:51.443708Z","updated_at":"2026-07-16T14:04:41.535279Z","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":"0ff03ae8-ad24-4608-ad4f-52afd3ae0087","company_id":"d3f1a010-47af-48d2-8b4e-a5953078daac","title":"Senior Software Engineer, Full Stack - NYC","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\nAs a Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.\n\n\n\nThis role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.\n\n\n\n\nWHAT YOU’LL DO\n\n - Retrieval over peta-byte scale documents\n\n - Organizational-level interfaces to collaborate with AI\n\n - Managing dedicated GPU capacity across 5+ regions\n\n - 1000-step planning agents that help take companies public\n\n - Government-level security for the world's most sensitive matters\n\n - Evaluating LLMs across a 10k+ leaf taxonomy of tasks\n\n - Internet-scale data collection from over 50+ jurisdictions\n\n\n\n\nWHAT YOU HAVE\n\n - 5+ YoE (post-BS/MS) in a product focused full-stack software engineering role.\n\n - Experience with React, Typescript, CSS (we use TailwindCSS), Python, or related.\n\n - Track record of building fast-growing SaaS products by leveraging PWA technologies.\n\n - Track record of shipping highly intuitive products, strong attention to detail.\n\n - Experience building backend platforms that can support multiple product lines.\n\n - Strong programming skills and general Computer Science knowledge.\n\n - Grit - experience working at early-stage startups is a plus.\n\n\n\n\nCOMPENSATION RANGE\n\n$200,000 - $260,000 USD\n\n\n\n\nDEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].\n\n\n\nHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai","salary_min":200000,"salary_max":260000,"location":"New York, NY","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["generative-ai","llm","agents","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":"2026-08-15T14:02:40.316953Z","created_at":"2026-04-13T09:37:53.125463Z","updated_at":"2026-07-16T14:02:40.435538Z","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":"2dd13eca-93af-42ff-a8a0-a5b0fd0459b6","company_id":"d90e5b83-7941-4bd8-aace-5327c84c09c6","title":"Software Engineer, Full Stack (Serverless) ","slug":"full-stack-engineer-serverless-f33a3b62","description":"fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.\n As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.\n About this role: \n As a Full Stack Engineer on Serverless, you will build the core product across frontend and backend that powers fal’s Serverless platform. This is a deeply product-focused role. You will work side-by-side with Product and Infrastructure to design and ship reusable, scalable systems that enterprise customers rely on in production every day.\n You will be a foundational technical owner of fal Serverless as it scales to thousands of enterprise customers, with real responsibility, autonomy, and impact. This is a chance to help build a new product vertical from the ground up inside a company that is already scaling at rocket-ship speed.\n  \n What you’ll work on: \n \n Build and maintain core Serverless UI features (dashboards, logs, observability, configuration, usage)\n Design and implement backend APIs that power the Serverless product experience\n Improve performance, reliability, and scalability of customer-facing systems\n Work closely with Infrastructure to ensure product features align with platform capabilities\n Own features end-to-end, from design through production and iteration \n \n What we’re looking for: \n \n Strong experience working across both frontend and backend\n Proficiency with TypeScript, Python, Postgres, and Next.js\n Experience owning features end-to-end in production systems Ability to context switch between UI, backend, and performance work\n Product-minded engineer who values clean abstractions and long-term maintainability\n Comfortable working in a fast-moving, low-process environment \n \n Nice to have: \n \n Experience building developer platforms or infrastructure-adjacent products\n Familiarity with observability tooling (logging, metrics, tracing) in production environments\n Background in distributed systems, container orchestration, or cloud-native architectures\n Experience with real-time systems, streaming logs, or high-throughput data pipelines\n Exposure to technologies such as Kubernetes, Prometheus, Datadog, gRPC, or similar systems\n Entrepreneurial mindset and strong ownership mentality\n \n What we offer at fal: \n \n Interesting and challenging work\n Competitive salary and equity\n A lot of learning and growth opportunities\n We offer relocation assistance to San Francisco.\n Health, dental, and vision insurance (US)\n Regular team events and offsite\n \n Compensation: \n \n \n $150,000 - $230,000 + equity + comprehensive benefits package\n \n Location: \n \n \n We are currently hiring in downtown San Francisco.","salary_min":150000,"salary_max":230000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["api-design","distributed-systems","data-pipeline","fullstack"],"apply_url":"https://job-boards.greenhouse.io/fal/jobs/4112697009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-01-27T19:13:37Z","expires_at":"2026-08-08T14:08:03.124078Z","created_at":"2026-04-13T09:44:18.723375Z","updated_at":"2026-07-09T14:08:03.228578Z","company_name":"Fal","company_slug":"fal","company_logo_url":"https://www.google.com/s2/favicons?domain=fal.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2dd13eca-93af-42ff-a8a0-a5b0fd0459b6"},{"id":"159fc0f7-925e-4256-8880-b334670eb8ac","company_id":"a0000000-0000-0000-0000-000000000003","title":" Senior Software Engineer,  Full-Stack – Scale GP","slug":"senior-software-engineer-full-stack-scale-gp-51a4b680","description":"Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack—from React/TypeScript frontends to Python-based backends—while integrating with LLMs and machine learning systems.\n You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment.\n What You’ll Do \n \n Own major full-stack product areas , driving features from design through production deployment. \n Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness. \n Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components. \n Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences. \n Deliver experiments and new features quickly , maintaining high quality and tight feedback loops with customers. \n Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP. \n Adapt quickly —learning new technologies, frameworks, and tools as needed across the stack. \n \n Ideal Experience \n \n 5+ years of full-time engineering experience , post-graduation. \n Strong experience developing full-stack applications using React, TypeScript, and Python . \n Experience scaling or shipping products at high-growth startups . \n Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome). \n Proficiency with SQL and modern API development. \n Experience with Kubernetes , containerization, and microservice architectures. \n Experience working with at least one major cloud provider (AWS, GCP, or Azure).\n Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. \n Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:\n $216,200 — $270,250 USD \n PLEASE NOTE:  Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. \n About Us: \n At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst \u0026 Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. \n We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  \n We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. \n We comply with the United States Depa","salary_min":216200,"salary_max":270250,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["rag","llm","distributed-systems","data-pipeline","embeddings","generative-ai","microservices","fullstack"],"apply_url":"https://job-boards.greenhouse.io/scaleai/jobs/4637484005","is_featured":false,"is_sticky":false,"status":"active","published_at":"2025-12-06T02:22:21Z","expires_at":"2026-08-15T14:01:43.838092Z","created_at":"2026-04-13T09:36:47.887371Z","updated_at":"2026-07-16T14:01:43.953046Z","company_name":"Scale AI","company_slug":"scale-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=scale.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/159fc0f7-925e-4256-8880-b334670eb8ac"}],"market_demand_pack":{"amount_cents":2900,"api_checkout_url":"https://aidevboard.com/api/v1/checkout?product_id=aidevboard_ai_skills_demand_pack","checkout_url":"https://aidevboard.com/market-demand-pack?qc=api-jobs-market-demand-pack\u0026utm_campaign=skills_demand_pack\u0026utm_medium=jobs_api\u0026utm_source=api","currency":"USD","description":"Full ranked public AI/ML demand CSV, source job URLs, and decision brief with market and offer angles.","fulfillment":"automatic_email_after_paid_checkout","human_checkout_url":"https://aidevboard.com/market-demand-pack?qc=api-jobs-market-demand-pack\u0026utm_campaign=skills_demand_pack\u0026utm_medium=jobs_api\u0026utm_source=api","name":"AI Market Demand Pack","next_step":"Open checkout_url for Stripe Checkout, or call api_checkout_url to get the non-charging checkout handoff payload.","price_usd":29,"product_id":"aidevboard_ai_skills_demand_pack","quote_url":"https://aidevboard.com/api/v1/quote?product_id=aidevboard_ai_skills_demand_pack"},"page":1,"per_page":20,"total":186,"total_pages":10}