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Location
In office (Berlin)
Seniority
Middle · 3+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 15, 2026. First seen by Alion on Nov 15, 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 company building software for the logistics industry. This high-ownership role spans customer conversations, product development, and production systems, helping bring AI agents into real-world operations.

What You'll Do

  • Speak with customers and translate their needs into product direction and system architecture.

  • Build full-stack features that combine user interfaces with LLM orchestration, agent workflows, and structured data pipelines.

  • Improve the reliability, latency, and evaluation of AI features used in production.

  • Develop early prototypes into robust production systems, balancing speed with maintainability.

  • Contribute to technical vision and product strategy while owning projects from architecture through iteration.

What We're Looking For

  • At least 3 years of production experience building full-stack web applications with Node.js and TypeScript.

  • Proficiency with React and experience shipping complex B2B or enterprise products.

  • Hands-on experience building and deploying LLM-powered product features, including prompt engineering, structured output parsing, context management, and error recovery.

  • Experience with LLM orchestration, agent workflows, vector stores, embedding pipelines, and structured data validation or evaluation.

  • Experience designing MongoDB schemas with attention to query performance and flexibility.

  • Knowledge of distributed systems and serverless infrastructure, including concurrency and failure handling.

  • Familiarity with observability tools, metrics, and tracing to debug production issues across asynchronous workflows.

  • A track record of owning technical projects and improving products through user feedback, ideally in an early-stage or founding environment.

  • Logistics, supply chain, or operations experience is helpful.

Location

Hybrid, with on-site work in Berlin, Germany, Monday through Wednesday. European travel is expected. Visa sponsorship is not available.

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