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.