Frontend / Full-Stack Engineer

🏢 About TypeSafe

TypeSafe is an AI research lab pushing frontier intelligence in a new direction with System One Models. By combining the reasoning of LLMs with the reliability and determinism of code, TypeSafe builds AI systems dependable enough to power production software. The company launched its flagship model, Jev, in September 2026 and is backed by an $870M Series A led by a16z.

🎯 The Role

TypeSafe is looking for scrappy frontend and full-stack engineers who find joy in beautiful visualization, responsive interactions, and fast iteration. Based in-person at the San Francisco office near Embarcadero, you will take end-to-end ownership of user-facing systems, turning raw model outputs into clear, inspectable interfaces that unlock new capabilities on top of frontier models.

🛠️ Tech Stack

• Frontend: Next.js (App Router), TypeScript, React, Tailwind CSS
• Backend & Systems: Python, RESTful APIs, distributed data pipelines
• AI Integration: System One Models (Jev), LLMs, AI coding agents
• Tooling: Git, modern deployment tooling, performance profiling

💼 What You'll Do

• Create high-leverage user interfaces that unlock new workflows and interaction paradigms on top of TypeSafe models.
• Turn raw model outputs, reasoning traces, and evaluation data into clean, inspectable web interfaces.
• Own product features end-to-end — from interactive prototyping through to production scale.
• Partner with researchers, designers, and customers to translate frontier capabilities into real-world developer tools.
• Instrument, measure, and optimize frontend rendering performance, latency, and system reliability.

✅ What You'll Need

• Solid full-stack and frontend engineering fundamentals with strong programming skills in TypeScript and Python.
• Proven experience building performant, responsive web applications using Next.js and React.
• Strong product intuition, design taste, and meticulous attention to user experience details.
• Ability to work full-time in person from the San Francisco office.
• Self-directed, scrappy problem-solver who thrives in ambitious, fast-moving environments.

🌟 Nice to Have

• Experience with data visualization libraries or complex state dashboards.
• Familiarity with AI agent architectures, tool-calling protocols, or LLM evaluation frameworks.
• Prior experience working in high-growth startup or frontier research settings.