AI/LLM Engineer
Summary
Build and deploy AI agents and LLM-powered features for a B2B sales-automation SaaS, using embeddings, RLHF/DPO, and full-stack development.
About the Role
We're a fast-growing, Y Combinator-backed B2B SaaS company in the sales automation and enterprise AI space, helping distributors and manufacturers eliminate lost deals through intelligent automation of quoting and order processing. With a small but world-class team and strong early traction, we're looking for a talented AI/LLM Engineer to join us on-site in Munich and help scale our AI-driven product.
This role sits at the intersection of AI, ML, data engineering, and full-stack development. You'll own end-to-end AI systems that power real, customer-facing features — and directly contribute to our next phase of growth.
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 intelligent product search
Apply RLHF and DPO techniques to align LLMs with human feedback
Build robust data pipelines to process large-scale unstructured data efficiently
Improve backend scalability, stability, and performance
What We're Looking For
Must-haves:
2+ years of software engineering experience
Strong hands-on experience with NLP, LLMs, embeddings, ML, and AI agents
Demonstrated experience building and scaling data and ML pipelines, including large-scale unstructured data
Experience with PostgreSQL and vector databases (e.g., Weaviate, Pinecone)
Strong CS fundamentals
Willingness to work in-person in Munich, Germany
Strong pluses:
Full-stack development experience with React, TypeScript, and Next.js
Experience with RLHF and DPO for LLM alignment
Familiarity with containerization (Docker, Kubernetes), cloud infrastructure (AWS, Azure, or GCP), and infrastructure as code (Terraform)
Compensation & Benefits
Salary: €90,000 – €200,000 per year, depending on experience
Visa sponsorship available
Opportunity to join a high-growth, early-stage team with significant ownership and impact
Location
This is a fully on-site role based in Munich, Germany. Candidates must be willing to work in-person. Visa sponsorship is available for the right candidate.