Overview
About the Role Join an early-stage AI company building tools for the global logistics industry. In this high-ownership role, you will work with the founding team across customer discovery, product development, and production systems, helping bring AI-powered workflows to users. What You'll Do Speak with customers and translate their needs into product direction and technical architecture. Build full-stack features that combine user interfaces with LLM orchestration, agent workflows, and structured data pipelines. Develop reliable production AI systems, addressing latency, failure recovery, and evaluation. Turn early prototypes into robust systems, balancing speed with long-term quality. Contribute to technical vision and product strategy, and iterate on shipped work using user feedback. What We're Looking For At least 3 years building and shipping full-stack web applications with Node.js
Full job description
Full Job Description
About the Role
Join an early-stage AI company building tools for the global logistics industry. In this high-ownership role, you will work with the founding team across customer discovery, product development, and production systems, helping bring AI-powered workflows to users.
What You'll Do
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Speak with customers and translate their needs into product direction and technical architecture.
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Build full-stack features that combine user interfaces with LLM orchestration, agent workflows, and structured data pipelines.
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Develop reliable production AI systems, addressing latency, failure recovery, and evaluation.
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Turn early prototypes into robust systems, balancing speed with long-term quality.
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Contribute to technical vision and product strategy, and iterate on shipped work using user feedback.
What We're Looking For
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At least 3 years building and shipping full-stack web applications with Node.js and TypeScript in production, including recent hands-on React experience.
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Production experience building LLM-powered features, including prompt design, structured output parsing, context management, and error recovery.
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Experience with MongoDB schema design and query performance, distributed systems, and serverless infrastructure.
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Familiarity with vector stores, embedding pipelines, LLM orchestration, evaluation, and structured output validation.
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Experience using observability tools, including metrics and tracing, to debug production systems and asynchronous workflows.
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A record of owning customer-facing products from architecture through delivery and iteration, preferably in an early-stage environment.
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Strong customer communication skills; experience with complex B2B systems or logistics, supply chain, or operations is valuable.
Location
Hybrid, based in Berlin, Germany. The role is on-site Monday to Wednesday, with travel within Europe and an annual team offsite expected. Visa sponsorship is not available.
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