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C

Product Engineer

clera
๐Ÿ‡ฉ๐Ÿ‡ช Germany
On-site
5 days ago
  • AI
  • Node.js
  • TypeScript
  • React.js
  • MongoDB
  • Datadog
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About the Role

You'll work directly with the founding team to build AI agents that automate real operations in global sea and air freight. This is a high-ownership, full-stack role where you'll make foundational technical decisions and put product directly into the hands of users in one of the world's most critical industries.

What You'll Do

  • Talk directly to customers and translate their needs into product direction and system architecture.

  • Build full-stack features combining intuitive interfaces with intelligent backend logic, including LLM orchestration, agent workflows, and structured data pipelines.

  • Push the limits of what LLMs and agents can do in production, tackling hard problems around reliability, latency, and evaluation.

  • Scale from demo-quality code to robust, production-ready systems, making deliberate tradeoffs between speed and durability.

  • Help shape the technical vision and product strategy of the company.

What We're Looking For

  • 3 or more years building full-stack web applications withNode.js and TypeScript in production environments.

  • Hands-on production experience withLLM-powered features, including prompt engineering, structured output parsing, context window management, and error recovery.

  • Proficiency inReact for building user-facing interfaces.

  • Experience designingMongoDB schemas with attention to query performance and flexibility.

  • Experience buildingdistributed systems and serverless infrastructure, including handling concurrency, failure modes, and scale.

  • Familiarity withobservability tooling (such as Datadog) for debugging production issues across async workflows using metrics and tracing.

  • Experience withLLM orchestration, agent workflows, and structured data pipelines.

  • Demonstrated track record of taking full ownership of projects from architecture through delivery and iteration.

  • Familiarity withvector stores and embedding pipelines for AI applications is a plus.

  • Domain knowledge of logistics, supply chain, or operations is a plus, but not required.

  • High-agency mindset, comfort with ambiguity, and genuine curiosity about how industries work.

Location

Hybrid, based inBerlin, Germany. On-site Monday to Wednesday, with travel within Europe expected. Visa sponsorship is not available.

Product Engineer ยท clera

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