AI/LLM Engineer

San FranciscoFullTime$90k–$200kPosted Aug 3, 2026

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

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