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
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Talk directly to customers and translate their needs into product direction and system architecture.
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Build full-stack features combining intuitive interfaces with intelligent backend logic, including LLM orchestration, agent workflows, and structured data pipelines.
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Push the limits of what LLMs and agents can do in production, tackling hard problems around reliability, latency, and evaluation.
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Scale from demo-quality code to robust, production-ready systems, making deliberate tradeoffs between speed and durability.
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Help shape the technical vision and product strategy of the company.
What We're Looking For
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3 or more years building full-stack web applications with Node.js and TypeScript in production environments.
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Hands-on production experience with LLM-powered features, including prompt engineering, structured output parsing, context window management, and error recovery.
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Proficiency in React for building user-facing interfaces.
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Experience designing MongoDB schemas with attention to query performance and flexibility.
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Experience building distributed systems and serverless infrastructure, including handling concurrency, failure modes, and scale.
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Familiarity with observability tooling (such as Datadog) for debugging production issues across async workflows using metrics and tracing.
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Experience with LLM orchestration, agent workflows, and structured data pipelines.
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Demonstrated track record of taking full ownership of projects from architecture through delivery and iteration.
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Familiarity with vector stores and embedding pipelines for AI applications is a plus.
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Domain knowledge of logistics, supply chain, or operations is a plus, but not required.
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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.
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