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
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Design, build, and deploy AI agents end-to-end across the full stack.
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Work with embeddings and fine-tune LLMs for classification and reranking tasks.
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Optimize algorithms to improve product search quality and relevance.
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Apply RLHF and DPO techniques to align LLMs with human feedback.
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Build and maintain data pipelines to process large-scale unstructured data efficiently.
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Harden and scale the backend for reliability and performance.
What We're Looking For
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2+ years of engineering experience, with a strong AI/LLM or backend-oriented focus rather than a primarily frontend profile.
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Solid hands-on experience with NLP, LLMs, embeddings, and AI-powered applications.
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Demonstrated ability to build and scale data and ML pipelines, including large-scale unstructured data.
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Practical experience applying RLHF or DPO to align language models with human feedback.
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Full-stack development skills using React, TypeScript, and Next.js.
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Familiarity with containerization (Docker, Kubernetes), cloud infrastructure (AWS, Azure, or GCP), and infrastructure as code (Terraform).
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Strong computer science fundamentals.
Compensation & Benefits
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Salary: 80,000 to 130,000 EUR per year, depending on experience.
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Visa sponsorship: available.
Location
On-site in Munich, Bavaria, Germany. Candidates must be willing and able to work in person on a regular basis.
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