2 days ago
Berlin, GermanyMid Level
Responsibilities
- Turn customer problems into full-stack product features from discovery through production.
- Build AI-enabled workflows and shared infrastructure for agent context, tools, and evaluations.
- Set architectural direction across frontend, backend, databases, APIs, and infrastructure.
- Design LLM workflows with evaluation loops, guardrails, and observability while managing latency, cost, and quality trade-offs.
- Build real-time data pipelines, normalize data, and integrate with enterprise systems.
- Review AI-assisted code, ship frequently, and improve product quality through user feedback.
- Contribute to hiring and define effective engineering processes and team practices.
Requirements
- At least 3 years of full-stack engineering experience shipping end-to-end production features across frontend, backend, and infrastructure.
- Demonstrated engineering ability, ownership, and initiative, including startup or similarly entrepreneurial product-building experience.
- Production experience with LLMs, retrieval systems, embeddings, reliable workflow design, and evaluation.
- Production experience with TypeScript and Python and experience building applications with Next.js.
- Strong frontend, backend, database, API, and system design foundations.
- Experience with React, PostgreSQL or Supabase, Vercel, and REST or GraphQL APIs is useful.
- Experience with data-intensive B2B products and enterprise integrations is useful; procurement, ERP, or supply chain knowledge is helpful.
- Clear communication, sound judgment, and a hands-on approach to collaborative team work.
Benefits
- Competitive salary and meaningful equity are offered.
- On-site in Berlin, Germany, with primarily in-person collaboration.
- Visa sponsorship is not available.