Member of Technical Staff (Full Stack Product Engineer) Early Stage AI Infrastructure Startup
London | Hybrid We’re working with an early-stage AI startup building core infrastructure focused on AI evaluation, structured data workflows, and production-grade operational tooling for frontier AI systems.
The company is building the systems around model performance combining human-in-the-loop workflows, evaluation tooling, quality control systems, and AI-assisted operations into a scalable platform used within high-stakes environments.
This is a genuine early-stage startup environment: small team, high ownership, fast execution, minimal bureaucracy, and direct involvement in shaping both product and engineering direction.
⚙️ This is a highly product-focused engineering role for a strong full stack engineer who enjoys building complete products end-to-end.
You’ll help design and build the internal platform powering the company’s AI evaluation and data operations engine, including workflows, tooling, interfaces, review systems, and automation pipelines.
The ideal person will care just as much about product usability, workflows, and frontend experience as they do about backend systems and architecture.
You’ll work closely with founders and users to turn complex manual processes into scalable software products, rapidly iterating based on feedback in a fast-moving startup environment.
Build full stack internal products for AI evaluation and structured data workflows Own features end-to-end across frontend, backend, and infrastructure Help shape engineering standards, architecture, and product direction as the company scales
Strong full stack engineering capability across frontend and backend Experience building and shipping products within early-stage startup environments Product-minded individuals who care about user experience and workflow design Experience building internal tools, operational platforms, or workflow systems Engineers who actively use AI tooling within their development workflows Strong frontend product engineering capability. Background building internal platforms or workflow tooling. Exposure to LLM products, AI tooling, or evaluation systems. Evidence of shipping quickly and iterating based on user feedback.
TypeScript / React / modern frontend frameworks Python or Node.js backend systems AI tooling and LLM integrations Help shape a foundational AI infrastructure platform from the ground up Strong long-term upside through equity participation…