This is a hands-on AI engineering role at a fast-growing, Y Combinator-backed B2B SaaS startup building AI-powered sales automation for distributors and manufacturers. You will work across the full stack to design and ship end-to-end AI systems that directly drive product growth and customer impact.
What You’ll Do
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Build, deploy, and optimize 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 for product search and discovery.
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Apply RLHF and DPO techniques to align LLMs with human feedback.
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Build data pipelines to process large-scale unstructured data efficiently.
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Improve backend scalability, stability, and performance.
What We’re Looking For
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2+ years of engineering experience, with substantive AI/LLM or backend-oriented depth (not frontend-focused).
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Strong experience with NLP, LLMs, embeddings, ML, and AI-powered applications.
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Demonstrated experience building and scaling data and ML pipelines, including large-scale unstructured data.
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Hands-on experience applying RLHF or DPO to align LLMs with human feedback.
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Full-stack development skills using React, TypeScript, and Next.js.
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Experience with containerization (Docker, Kubernetes), cloud infrastructure (AWS, Azure, or GCP), and infrastructure as code (Terraform).
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Strong computer science fundamentals.
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Ability and willingness to work on-site in Munich on a regular basis.
Compensation & Benefits
Salary range: 80,000 to 130,000 EUR annually. Visa sponsorship is available.
Location
On-site in Munich, Bavaria, Germany. This is not a remote or heavily hybrid position; regular in-person presence is expected.