Join a Y Combinator-backed B2B SaaS startup as a Senior AI/ML Engineer to design, deploy, and optimize AI agents for sales automation. Own end-to-end AI solutions, including LLM fine-tuning, data pipelines, and production-scale ML systems. Shape product direction in a high-impact, early-stage role with full-stack ownership.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About The Role
A fast-growing, Y Combinator-backed B2B SaaS startup in the sales automation space is looking for an AI/LLM Engineer to join their team in Munich. The company automates quote and order processing for distributors and manufacturers — helping sales teams eliminate manual overhead and close more deals with AI-driven tooling.
This is a high-impact, full-stack AI engineering role where you'll own end-to-end delivery of intelligent features: from data pipelines and LLM fine-tuning to production deployment. You'll be joining a small, senior team at an early stage with significant engineering ownership and direct influence on product direction.
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 product search and matching
- Apply RLHF and DPO techniques to align LLMs with human feedback
- Build robust data pipelines to process large-scale unstructured data efficiently
- Contribute to backend scalability, stability, and performance improvements
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Must-haves:
- 2+ years of hands-on engineering experience
- Strong experience with NLP, LLMs, embeddings, ML, and production AI agents
- Experience with full-stack development using React, TypeScript, and Next.js
- Demonstrated experience scaling data and ML pipelines, including large-scale unstructured data
- Practical experience with RLHF and DPO for LLM alignment
- Strong CS fundamentals
- Willingness to work on-site in Munich
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- Experience with containerization (Docker, Kubernetes)
- Cloud infrastructure experience (AWS, Azure, or GCP)
- Infrastructure-as-code experience (Terraform)
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- Salary: $90,000 – $200,000 USD annually (depending on experience)
- Visa sponsorship available
- Early-stage equity opportunity at a well-funded, high-growth startup
- Munich, Germany — on-site role
- Visa sponsorship is available for the right candidate
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