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Salary
$78k – $193k per year (Estimated)
Location
In office (Berlin)
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 founding engineering role at an early-stage AI startup building autonomous agents that automate complex processes for industrial enterprises. You will work across the full stack, from React frontends to cloud infrastructure to LLM-powered backends, directly shaping both the product and the engineering culture from the ground up.

What You'll Do

  • Architect and ship new features end-to-end, balancing immediate impact with long-term scalability.

  • Design agentic systems that leverage LLMs for reasoning, document extraction, and enterprise process automation.

  • Implement AI best practices to ensure autonomous agents operate with precision, security, and industrial-grade reliability.

  • Own the complete user journey, refining frontends, architecting backend logic, and managing cloud infrastructure as needed.

  • Build mission-critical, secure, and resilient AI solutions held to the highest standards for data integrity.

  • Identify and fix critical problems outside your immediate scope, from infrastructure bottlenecks to customer friction points.

What We're Looking For

  • 3 or more years building full-stack applications with Python backends and React frontends in production environments.

  • Practical production experience building and deploying LLM-based agentic systems or AI agents.

  • Strong proficiency in Python with frameworks such as FastAPI, Pydantic, and SQLAlchemy.

  • Production experience with TypeScript and React for building user interfaces for complex workflows.

  • Hands-on experience with agentic frameworks (such as PydanticAI, Google ADK, or LangGraph) and prompt engineering.

  • Experience deploying and managing cloud infrastructure for production applications.

  • A pragmatic, ship-first mindset with comfort using AI coding assistants to accelerate development velocity.

  • Experience designing systems with high reliability, security, and data integrity requirements.

  • Nice to have: experience with LLM observability or evaluation tools, ERP or enterprise supply chain integrations, document extraction or unstructured data processing, and German language fluency.

Location

Based in Berlin, Germany. This role requires five days per week in the Berlin office. No visa sponsorship is available.

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