Full-Stack Engineer – AI Reliability Platform Location: In-person (NYC) Compensation: $150,000 – $325,000 annual salary + equity + benefits Visa Sponsorship: Available for exceptional candidates Our client is on a mission to bring AI-based applications from proof-of-concept to production with a focus on safety, reliability, and continuous testing. They help organizations—from frontier AI labs to global enterprises—develop trustworthy, production-ready AI applications by proactively identifying risks through rigorous fuzz-testing and evaluation tooling. They are seeking a talented and experienced full-stack engineer to help build and scale their AI reliability platform. In this role, you’ll own and develop customer-facing features that integrate advanced AI research, enabling users to test, verify, and deploy AI applications confidently and safely. In this role, you will: Drive end-to-end development of new features and tools on the AI reliability platform Build reusable frontend components and intuitive visualizations for complex AI workflows Work closely with the research team to integrate cutting-edge safety methodologies Interface directly with customers to understand pain points and optimize user workflows using the client’s proprietary evaluation methodology You may be a good fit if you: Have 4+ years of experience building user-facing applications (experience with AI/ML tools is a plus) Are skilled in modern web technologies like TypeScript and React Are proficient in one or more of Python, Go, or Rust Have experience with relational and NoSQL databases (e.g., Postgres, MongoDB, Redis) Take a pragmatic, outcome-driven approach to solving complex or ambiguous problems Care deeply about user experience and building beautiful, functional interfaces Are a generalist comfortable wearing multiple hats in a startup environment Bonus points if you: Have experience as a product designer or product manager (formally or informally) Have built LLM-based applications such as chatbots or autonomous agents Have experience with Kubernetes or other container orchestration platforms Requirements: Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field (or equivalent practical experience) About the Client: Founded in 2024, our client has quickly become a trusted partner to industry leaders including OpenAI, Anthropic, and AI21. Their advanced tooling powers evaluation, red-teaming, observability, and continuous improvement of AI models. They are backed and advised by top-tier founders and executives from the AI and tech ecosystem, including leadership from companies like Hugging Face, Cognition, Replit, Okta, Stripe, and more. Their team includes individuals with backgrounds in AI research and engineering from institutions such as Harvard, MIT, Citadel, and McKinsey QuantumBlack. The team is passionate about building AI systems that are not only powerful, but also safe, reliable, and production-ready. This is an opportunity to make a lasting impact on the future of AI deployment—and join a fast-paced, mission-driven environment where excellence is expected and personal growth is guaranteed.

Have 4+ years of experience building user-facing applications (experience with AI/ML tools is a plus)