Product Engineer

CleraBerlin, State of BerlinOn-siteFull-timeMid level, 2–5 yearsListed 1 hour ago

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About this role

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 with Node.js and TypeScript in production environments.
- Hands-on production experience with LLM-powered features , including prompt engineering, structured output parsing, context window management, and error recovery.
- Proficiency in React for building user-facing interfaces.
- Experience designing MongoDB schemas with attention to query performance and flexibility.
- Experience building distributed systems and serverless infrastructure , including handling concurrency, failure modes, and scale.
- Familiarity with observability tooling (such as Datadog) for debugging production issues across async workflows using metrics and tracing.
- Experience with LLM orchestration, agent workflows, and structured data pipelines .
- Demonstrated track record of taking full ownership of projects from architecture through delivery and iteration.
- Familiarity with vector 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 in Berlin, Germany . On-site Monday to Wednesday, with travel within Europe expected. Visa sponsorship is not available.