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Location
Remote (Serbia)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 6, 2026. Clera scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.
Backed by TU Berlin

About the Role

Join an early-stage AI team to build the agent runtime and evaluation systems that help an AI coworker act reliably in real team workflows. You will shape when agents take initiative, request approval, or stay quiet.

What You'll Do

  • Design and build the agent runtime for providing context, selecting tools, requesting approvals, and completing work.

  • Write and refine system prompts to make agent behavior proactive without becoming noisy or unsafe.

  • Build evaluation and regression tests for real tasks, tool use, and failure cases.

  • Improve reliability across long-running tasks, interruptions, and retries.

  • Implement safeguards such as approval gates and multi-tenant data separation.

  • Work directly with the founding team and early users to take broad problems from prototype to production.

What We're Looking For

  • Production experience shipping tool-using LLM agents, beyond demos or thin prompt wrappers.

  • Hands-on system prompt design, improved through testing and iteration.

  • Experience building evaluation and regression test harnesses for LLM or agent behavior.

  • Understanding of safe tool execution, approval workflows, and multi-user data risks.

  • Strong ownership of broad technical problems and the ability to explain tradeoffs.

  • Experience with LLM agents, tool use, evaluations, and prompt engineering.

Compensation & Benefits

Founding equity is offered; the percentage and vesting terms are to be confirmed.

Location

Remote, from Serbia, Poland, or another Eastern European country. Local employment or contractor structure and working-hour overlap are to be confirmed.

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