About the Role

This is a hands-on AI engineering role at a fast-growing, Y Combinator-backed B2B SaaS startup building AI-powered sales automation for distributors and manufacturers. You will work across the full stack to design and ship end-to-end AI systems that directly drive product growth and customer impact.

What You'll Do

Build, deploy, and optimize AI agents end-to-end across the full stack.
Work with embeddings and fine-tune LLMs for classification and reranking tasks.
Optimize algorithms for product search and discovery.
Apply RLHF and DPO techniques to align LLMs with human feedback.
Build data pipelines to process large-scale unstructured data efficiently.
Improve backend scalability, stability, and performance.

What We're Looking For

2+ years of engineering experience, with substantive AI/LLM or backend-oriented depth (not frontend-focused).
Strong experience with NLP, LLMs, embeddings, ML, and AI-powered applications.
Demonstrated experience building and scaling data and ML pipelines, including large-scale unstructured data.
Hands-on experience applying RLHF or DPO to align LLMs with human feedback.
Full-stack development skills using React, TypeScript, and Next.js.
Experience with containerization (Docker, Kubernetes), cloud infrastructure (AWS, Azure, or GCP), and infrastructure as code (Terraform).
Strong computer science fundamentals.
Ability and willingness to work on-site in Munich on a regular basis.