Job Description

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.