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Clera logo

AI/LLM Engineer

Clera
Posted 9 hours ago
🛂Visa sponsorship
🇩🇪Germany
💰€90.0K–€200.0K📁Data & Analytics
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About the Role We're a fast-growing, Y Combinator-backed B2B SaaS company in the sales automation and enterprise AI space, helping distributors and manufacturers eliminate lost deals through intelligent automation of quoting and order processing. With a small but world-class team and strong early traction, we're looking for a talented AI/LLM Engineer to join us on-site in Munich and help scale our AI-driven product. This role sits at the intersection of AI, ML, data engineering, and full-stack development. You'll own end-to-end AI systems that power real, customer-facing features — and directly contribute to our next phase of growth. 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 intelligent 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 What We're Looking For Must-haves: 2+ years of software engineering experience Strong hands-on experience with NLP, LLMs, embeddings, ML, and AI agents Demonstrated experience building and scaling data and ML pipelines , including large-scale unstructured data Experience with PostgreSQL and vector databases (e.g., Weaviate, Pinecone) Strong CS fundamentals Willingness to work in-person in Munich, Germany Strong pluses: Full-stack development experience with React, TypeScript, and Next.js Experience with RLHF and DPO for LLM alignment Familiarity with containerization ( Docker, Kubernetes ), cloud infrastructure ( AWS, Azure, or GCP ), and infrastructure as code ( Terraform ) Compensation & Benefits Salary: €90,000 – €200,000 per year, depending on experience Visa sponsorship available Opportunity to join a high-growth, early-stage team with significant ownership and impact Location This is a fully on-site role based in Munich, Germany . Candidates must be willing to work in-person. Visa sponsorship is available for the right candidate.

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