About the Role

A fast-growing, Y Combinator–backed AI startup in the supply chain space is looking for a Senior Backend Engineer to help build the backbone of an AI-powered platform that plans and executes how consumer goods are produced and moved globally. You'll join a small, high-velocity engineering team on-site in Munich, Germany and own backend systems end-to-end — turning the messy physical flow of goods into programmable, reliable, and scalable software. Visa sponsorship is available.

The company operates in the Consumer Packaged Goods (CPG) / AI supply chain management sector, with a product suite spanning demand forecasting, inventory optimization, automated supplier communication, and AI-driven exception handling.

What You'll Do

• Design and implement backend systems that power AI-driven supply chain decisions.
• Architect data models and pipelines to ingest and organize messy, real-world data.
• Ensure user requests and plans are processed in real time for reliable, continuous execution.
• Build scalable, high-performance SQL queries and data access patterns for large datasets.
• Ship production-grade services using modern backend frameworks and rigorous testing practices.
• Collaborate closely with the core product and engineering team to translate complex logistics problems into elegant software.
• Own and improve deployment and runbook processes to keep systems running 24/7.

What We're Looking For

Must-haves:

• 5+ years of hands-on experience as a Backend Engineer with a strong track record of designing and shipping real products.
• Proficiency in Python and modern backend frameworks such as FastAPI, with solid testing skills using tools like pytest.
• Experience with AI code generation and management tools (e.g., Claude Code, Codex, OpenCode), including parallelizing instances for continuous operation.
• Proven ability to own backend systems end-to-end — from data architecture through to real-time request processing.
• Strong SQL skills, including writing high-performance queries over millions of data points.
• Experience organizing and managing messy, unstructured, real-world data.
• Solid system design skills and experience building scalable data architectures with minimal supervision.

Nice-to-haves:

• Experience building unstructured data ingestion systems.
• Familiarity with frontend frameworks and their testing ecosystems.
• Experience with DevOps practices and AWS.
• Background in supply chain, logistics, or CPG industries.

You'll thrive here if you:

• Have a practical, builder mindset and are comfortable choosing the right tools for the job.
• Enjoy working autonomously in a small, fast-paced team at an early-stage startup.
• Are excited about applying AI tooling to accelerate your own engineering workflow.

Compensation & Benefits

• Salary: $110,000 – $200,000 USD annually (or local equivalent)
• Visa sponsorship available
• Opportunity for significant equity and career growth at an early-stage, well-backed startup

Location

This is an on-site role based in Munich, Germany. Candidates should be willing to work from the Munich office. Visa sponsorship is available for qualified candidates.