Member of Technical Staff - Software Engineering Seed Stage Agentic Infras Start-up
Work directly with some of the world's largest AI Frontier Labs
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 start-up 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 f or a strong full-stack eng ineer 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 environ ment.
Build full-stack internal products for Agentic 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 SWE engineering capability across frontend and backend
Experience building and shipping agentic AI products within early-stage startup environments
Product-minded individuals who care about user experience and workflow design
Engineers who actively use AI tooling within their development workflows
or continue with email
Work directly with some of the world's largest AI Frontier Labs
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 start-up 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 f or a strong full-stack eng ineer 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 environ ment.
Build full-stack internal products for Agentic 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 SWE engineering capability across frontend and backend
Experience building and shipping agentic AI products within early-stage startup environments
Product-minded individuals who care about user experience and workflow design
Engineers who actively use AI tooling within their development workflows
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