Why This Role Stands Out
This AI/LLM Engineer role offers an exciting opportunity to build impactful AI systems from end-to-end, directly contributing to company growth and innovation in a dynamic sales automation platform. You'll thrive here if you're passionate about leveraging your expertise in NLP, LLMs, and full-stack development to create scalable, high-performance AI solutions. Don't miss out on this chance to advance your career!
Quick Overview
Job Description
About the Role
We're looking for an AI/LLM Engineer to build end-to-end AI systems that power practical, high-impact features for an AI-driven sales automation platform serving distributors and manufacturers. You'll sit at the intersection of AI, ML, data engineering, and full-stack development — shipping work that directly moves the needle on company growth.
What You'll Do
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 powering product search.
Apply RLHF and DPO techniques to align LLMs with human feedback.
Build scalable data pipelines to process large-scale unstructured data efficiently.
Harden and scale backend systems for reliability and performance.
What We're Looking For
2+ years of engineering experience.
Strong hands-on experience with NLP, LLMs, embeddings, ML, and AI-powered applications.
Demonstrated ability to build and scale data and ML pipelines, including large-scale unstructured data.
Experience with RLHF and DPO for LLM alignment.
Full-stack development skills using React, TypeScript, and Next.js.
Experience with PostgreSQL and vector databases (e.g., Weaviate, Pinecone).
Familiarity with containerization (Docker, Kubernetes), cloud infrastructure (AWS, Azure, or GCP), and infrastructure as code (Terraform).
Strong computer science fundamentals.
Compensation & Benefits
Salary range: €90,000 – €200,000 annually. Visa sponsorship is available.
Location
On-site in Munich, Germany. Candidates must be willing to work in-person.
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