Product Engineer
Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 25, 2026. Clera scores B on the Alion truth index.
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.