AI/LLM Engineer

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.