About the Role

You'll join a small, fast-moving team building end-to-end AI systems for a B2B SaaS platform that automates quoting and order processing for distributors and manufacturers. Sitting at the intersection of AI, data engineering, and full-stack development, this role has a direct impact on the product's core intelligence and scalability.

What You'll Do

• Design, build, and deploy AI agents end-to-end across the full stack.

• Work with embeddings and fine-tune LLMs for classification and reranking tasks.

• Optimize algorithms to improve product search quality and relevance.

• Apply RLHF and DPO techniques to align LLMs with human feedback.

• Build and maintain data pipelines to process large-scale unstructured data efficiently.

• Harden and scale the backend for reliability and performance.

What We're Looking For

• 2+ years of engineering experience, with a strong AI/LLM or backend-oriented focus rather than a primarily frontend profile.

• Solid hands-on experience with NLP, LLMs, embeddings, and AI-powered applications.

• Demonstrated ability to build and scale data and ML pipelines, including large-scale unstructured data.

• Practical experience applying RLHF or DPO to align language models with human feedback.

• Full-stack development skills using React, TypeScript, and Next.js.

• Familiarity with containerization (Docker, Kubernetes), cloud infrastructure (AWS, Azure, or GCP), and infrastructure as code (Terraform).

• Strong computer science fundamentals.

Compensation & Benefits

• Salary: 80,000 to 130,000 EUR per year, depending on experience.

• Visa sponsorship: available.

Location

On-site in Munich, Bavaria, Germany. Candidates must be willing and able to work in person on a regular basis.