🕒 yesterday
Lead hands-on engineering at an established SaaS company: ship production software, modernize development practices, coach engineers, set the roadmap with the GM, and bring AI into products and workflows.
Founding Engineer
🕒 2 days ago
LLM SystemsAI AgentsFull-stack EngineeringBackend Development
📜 Description
- Develop architecture and infrastructure to scale the product to a large user base.
- Build and operate the agent runtime, including orchestration, memory, verification, and supporting systems.
- Own projects end to end across backend, infrastructure, frontend, and AI agents.
- Set technical standards and guide engineering practices as the team grows.
- Ship regular improvements for users operating real businesses.
🛠️ Requirements
- 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.
✨ Benefits
- Location
- Remote within Europe, with relocation to San Francisco expected within the first year.
Full job description
About the Role
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.
What You'll Do
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.
What We're Looking For
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.
Compensation & Benefits
Base salary is €80,000 to €140,000 annually. Visa sponsorship and relocation support are available for a move to San Francisco.
Location
Remote within Europe, with relocation to San Francisco expected within the first year.
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