Founding Engineer at Clera

Job description

ABOUT THE ROLE Join an early-stage AI company as its first engineering hire, partnering with the founder to turn a working product into reliable infrastructure for AI-powered service businesses. You will help shape the architecture, agent runtime, and engineering practices as the product scales. WHAT YOU'LL DO - Rebuild the existing product into infrastructure designed to support significant growth. - Design and operate agent systems, including orchestration, memory, and verification. - Own projects end to end across backend, infrastructure, frontend, and AI agents. - Set technical direction, choose the stack, and establish a high-quality engineering culture. - Ship improvements weekly or faster to customers using the product in their businesses. WHAT WE'RE LOOKING FOR - At least two years shipping production software, or an equivalent record as a founder, solo builder, or exceptional early-career engineer. - Full-stack range, with the ability to work across backend, infrastructure, and user interfaces. - Experience building and operating production LLM or AI agent systems relied on by real users. - Experience evolving a working prototype into scalable infrastructure, including architecture, data models, runtime, and orchestration. - Evidence of owning technical decisions in an early-stage environment, and the ability to explain the difficult parts of systems you have shipped. - Experience with agent orchestration, memory, evaluations, verification, or multi-agent workflows is useful. - Founder experience or familiarity with recruiting, agencies, or other service-delivery businesses is a plus. - Based in Europe and willing to relocate to San Francisco within the first year. COMPENSATION & BENEFITS Base salary: €80,000 to €140,000 annually. Equity is part of the founding-level opportunity. Visa sponsorship and relocation support are available for a move to San Francisco. LOCATION Remote within Europe, with an expectation to relocate to San Francisco within the first year.

Requirements

Must-haves

Rebuild the existing product into infrastructure designed to support significant growth.
Design and operate agent systems, including orchestration, memory, and verification.
Own projects end to end across backend, infrastructure, frontend, and AI agents.
Set technical direction, choose the stack, and establish a high-quality engineering culture.
Ship improvements weekly or faster to customers using the product in their businesses.
At least two years shipping production software, or an equivalent record as a founder, solo builder, or exceptional early-career engineer.
Full-stack range, with the ability to work across backend, infrastructure, and user interfaces.
Experience building and operating production LLM or AI agent systems relied on by real users.
Experience evolving a working prototype into scalable infrastructure, including architecture, data models, runtime, and orchestration.
Evidence of owning technical decisions in an early-stage environment, and the ability to explain the difficult parts of systems you have shipped.
Experience with agent orchestration, memory, evaluations, verification, or multi-agent workflows is useful.
Based in Europe and willing to relocate to San Francisco within the first year.
Remote within Europe, with an expectation to relocate to San Francisco within the first year.

Nice-to-haves

Founder experience or familiarity with recruiting, agencies, or other service-delivery businesses is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillm

Platform: ashby
Effort: quick