Hands-on AI/LLM engineering role at a Y Combinator-backed B2B SaaS startup. Build, deploy, and optimize end-to-end AI systems, focusing on LLM fine-tuning, search algorithms, and data pipelines. Requires 2+ years of experience in NLP, LLMs, ML, full-stack development, and data pipelines.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About The Role
This is a hands-on AI/LLM engineering role at a fast-growing, Y Combinator–backed B2B SaaS startup building AI-powered sales automation for distributors and manufacturers. You'll work across the full stack to deliver end-to-end AI systems that have a direct, measurable impact on the product and the company's growth trajectory.
What You'll Do
- Build, deploy, and optimize AI agents end-to-end across the full stack.
- Work with embeddings and fine-tune LLMs for classification and reranking tasks.
- Design and optimize algorithms for 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.
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- 2+ years of engineering experience.
- Strong hands-on experience with NLP, LLMs, embeddings, ML, and AI agent development.
- Demonstrated experience building and scaling data and ML pipelines, particularly for unstructured data.
- Experience with vector databases (e.g., Weaviate, Pinecone) and PostgreSQL.
- 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).
- Experience with RLHF and DPO for LLM alignment.
- Strong computer science fundamentals.
- Willingness to work on-site in Munich, Germany.
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Salary range: €80,000 – €130,000 per year. Visa sponsorship is available.
Location
On-site in Munich, Bavaria, Germany. Full-time, in-person presence is expected.
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