AI/LLM Engineer

ABOUT THE ROLE A fast-growing, Y Combinator-backed B2B SaaS startup in the sales automation space is looking for an AI/LLM Engineer to join their team in Munich. The company automates quote and order processing for distributors and manufacturers — helping sales teams eliminate manual overhead and close more deals with AI-driven tooling. This is a high-impact, full-stack AI engineering role where you'll own end-to-end delivery of intelligent features: from data pipelines and LLM fine-tuning to production deployment. You'll be joining a small, senior team at an early stage with significant engineering ownership and direct influence on product direction. WHAT YOU'LL DO - Design, build, deploy, and optimize AI agents across the full stack — end to end - Work with embeddings and fine-tune LLMs for classification and reranking tasks - Optimize algorithms for product search and matching - Apply RLHF and DPO techniques to align LLMs with human feedback - Build robust data pipelines to process large-scale unstructured data efficiently - Contribute to backend scalability, stability, and performance improvements WHAT WE'RE LOOKING FOR Must-haves: - 2+ years of hands-on engineering experience - Strong experience with NLP, LLMs, embeddings, ML, and production AI agents - Experience with full-stack development using React, TypeScript, and Next.js - Demonstrated experience scaling data and ML pipelines, including large-scale unstructured data - Practical experience with RLHF and DPO for LLM alignment - Strong CS fundamentals - Willingness to work on-site in Munich Nice to have: - Experience with containerization (Docker, Kubernetes) - Cloud infrastructure experience (AWS, Azure, or GCP) - Infrastructure-as-code experience (Terraform) COMPENSATION & BENEFITS - Salary: $90,000 – $200,000 USD annually (depending on experience) - Visa sponsorship available - Early-stage equity opportunity at a well-funded, high-growth startup LOCATION - Munich, Germany — on-site role - Visa sponsorship is available for the right candidate