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Design and build scalable product architecture and infrastructure, including the agent runtime and its orchestration, memory, and verification systems. Own projects end to end across backend, infrastructure, frontend, and AI agents while setting technical standards and shipping improvements to users.
Join an early-stage AI infrastructure startup as its first engineer. You will work directly with the founder to evolve a functioning product into scalable infrastructure for AI-powered service businesses, with broad ownership across the product and its technical direction.
Develop the architecture and infrastructure needed to scale the product to a large user base.
Build and operate the agent runtime, including orchestration, memory, verification, and supporting systems.
Take projects end to end across backend, infrastructure, frontend, and AI agents.
Set technical standards and guide how the engineering team builds as it grows.
Ship improvements regularly to users operating real businesses.
At least 2 years of experience shipping production software, or an equivalent record as a founder, solo builder, or exceptional early-career engineer.
Experience building and running LLM or AI agent systems in production, with real users relying on them.
Full-stack range, including the ability to work across backend, infrastructure, and user interfaces.
Experience turning prototypes into dependable systems through sound architecture, data models, runtime design, and orchestration.
Evidence of owning technical decisions and delivering quickly in an early-stage or independent environment.
Strong generalist engineering skills and practical experience with agent workflows, memory, evaluations, or verification are valuable.
Based in Europe and willing to relocate to San Francisco within the first year.
Base salary is €80,000 to €140,000 annually. Visa sponsorship and relocation support are available for a move to San Francisco.
Remote within Europe, with relocation to San Francisco expected within the first year.
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