Join a fast-moving team building end-to-end AI systems for a B2B SaaS platform automating quoting and order processing. Responsibilities include designing AI agents, fine-tuning LLMs, and building scalable data pipelines across the full stack. Requires 2+ years of experience with a strong focus on NLP, LLMs, and backend engineering.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
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.
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- 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.
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- Salary: 80,000 to 130,000 EUR per year, depending on experience.
- Visa sponsorship: available.
On-site in Munich, Bavaria, Germany. Candidates must be willing and able to work in person on a regular basis.
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