Full Stack Engineer – AI Safety Tools Join a mission-driven team building critical infrastructure for AI safety We're a small, fast-moving team building tools that help AI labs and tech companies evaluate and monitor advanced AI systems. Our work turns cutting-edge research into production-grade software that keeps AI deployment safe, transparent, and accountable. You’ll be joining as the first Full Stack Engineer on a brand-new product team, with the chance to shape the tech, team, and product direction from day one. If you enjoy building meaningful tools with real-world impact — and care about AI being aligned with human values — this is the place to do it. ️ Tech Stack Backend: Python, FastAPI, Flask, monorepo architecture Frontend: React, TypeScript Infrastructure: AWS, EC2, DynamoDB, Docker Tools: Custom eval libraries, observability tooling, real-time agent monitoring systems What You’ll Work On Build full-stack features from architecture to production: REST APIs, frontends, and secure backend systems Translate complex AI safety evaluations into intuitive, scalable products for external users Help design and implement tools like: Evaluations API for enterprise-scale AI model testing Real-time agent monitoring for catching risky behavior in deployed LLM agents Work closely with our Head of Product and AI researchers — you’ll help turn internal research tools into robust customer-facing products Contribute to product decisions, help shape our engineering culture, and bring a user-centered mindset to technical work ✅ What We’re Looking For 6 years as a Full Stack or Backend Engineer building production-grade software Strong backend experience with Python (FastAPI, Flask, or Django) Confident with modern frontend frameworks like React and TypeScript Skilled in building and maintaining APIs, cloud services (AWS or GCP), and containerized deployments Strong problem-solving skills, and comfortable in fast-moving, ambiguous environments Bonus: You've built a product from 0 to 1, led a tech stack decision, or worked in ML/AI environments