6 hours ago
Munich, GermanyMid Level
Responsibilities
- Build, deploy, and optimize end-to-end AI agents across the full stack.
- Work with embeddings and fine-tune LLMs for classification and reranking tasks.
- Optimize algorithms for product search and discovery.
- Apply RLHF and DPO techniques to align LLMs with human feedback.
- Build efficient data pipelines for large-scale unstructured data.
- Improve backend scalability, stability, and performance.
Requirements
- At least 2 years of engineering experience with substantive AI/LLM or backend-oriented depth rather than frontend focus.
- Strong experience with NLP, LLMs, embeddings, ML, and AI-powered applications.
- Demonstrated experience building and scaling data and ML pipelines, including pipelines for large-scale unstructured data.
- Hands-on experience applying RLHF or DPO to align LLMs with human feedback.
- Full-stack development skills using React, TypeScript, and Next.js.
- Experience with Docker, Kubernetes, AWS, Azure, or GCP, and Terraform.
- Strong computer science fundamentals.
- Ability and willingness to work on-site in Munich on a regular basis.
Benefits
- Annual salary range of 80,000 to 130,000 EUR.
- Visa sponsorship is available.
- On-site role in Munich, Bavaria, Germany; not remote or heavily hybrid, with regular in-person presence expected.