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Location
Remote/Hybrid (Munich, Germany)
Seniority
Junior · 1+ year exp
Employment
Full-Time
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.

About the Role

This is a full-stack engineering role sitting across the product and AI teams at a seed-stage B2B AI customer support startup. You will own end-to-end features, shape AI-powered capabilities, and help scale the agentic architectures that drive automated ticket resolution for technical B2B teams. The role offers real ownership and impact at an early-stage company pushing the boundaries of current-generation AI systems.

What You'll Do

  • Design and implement full-stack product features from concept through production.

  • Build and enhance AI features, including autonomous agent workflows and data or model pipelines.

  • Collaborate closely with the team to plan, design, and launch new capabilities.

  • Help make internal work processes AI-native by integrating AI coding agents and related tooling into day-to-day engineering.

What We're Looking For

  • 1 to 4 years of backend or AI engineering experience; strong new-grad candidates are welcome.

  • Demonstrated success shipping backend systems or AI features to production.

  • Hands-on experience building agentic AI systems, with solid intuition for autonomous-agent frameworks and system design.

  • Experience integrating OpenAI models and applying prompt engineering techniques.

  • Familiarity with relational databases such as PostgreSQL and/or Firestore on GCP.

  • Experience designing end-to-end architectures and building AI-powered data or model pipelines.

  • Heavy user of AI coding agents (such as Codex, Claude Code, or Cursor), with concrete learnings or ideas for improving AI coding agent setups.

  • Hobby projects involving LLMs or related AI topics, showing genuine curiosity beyond the day job.

  • Startup drive and comfort operating in a hands-on, fast-moving environment.

  • Already authorised to work in Germany; visa sponsorship is not available for this role.

Location

Fully on-site in Munich, Bavaria, Germany. This is not a remote or hybrid role.

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