About the role
About the Role
Join an early-stage team building AI software for enterprise procurement. You will own customer-facing product work from discovery through delivery and help shape the technical foundations and engineering practices as the team grows.
What You'll Do
- 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, and infrastructure, balancing performance, security, and developer experience.
- Design dependable LLM workflows with evaluation loops, guardrails, and observability, and manage 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.
What We're Looking For
- At least 3 years of full-stack engineering experience shipping end-to-end production features across frontend, backend, and infrastructure.
- Strong evidence of engineering ability, ownership, and initiative, including experience building products in a startup or similarly entrepreneurial environment.
- Production experience with LLMs, retrieval systems, and embeddings, including reliable workflow design and evaluation.
- Experience shipping production systems with TypeScript and Python, and 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; procurement, ERP, or supply chain knowledge is helpful.
- Clear communication, sound judgment, and a hands-on approach to working in a small, collaborative team.
Compensation & Benefits
Competitive salary and meaningful equity are offered. Visa sponsorship is not available.
Location
On-site in Berlin, Germany, with primarily in-person collaboration.