Machine learning engineer for LLM and RAG systems

We're looking for an experienced Senior Machine Learning Engineer to join an exciting project with a European B2B software company developing AI-powered solutions for regulatory and compliance workflows. You'll work on improving a production LLM-powered assistant designed to help compliance teams navigate complex regulatory and contractual documentation, extract relevant information and identify actionable obligations.

• You'll work on improving a production LLM-powered assistant designed to help compliance teams navigate complex regulatory and contractual documentation, extract relevant information and identify actionable obligations.

• 5+ years of professional software engineering or machine learning experience.
• Strong Python development skills, particularly in production environments.
• Proven experience building, deploying and optimising production LLM applications.
• Deep understanding of Retrieval-Augmented Generation (RAG) architectures.
• Hands-on experience with vector databases and search technologies such as pgvector, OpenSearch or Qdrant.
• Practical knowledge of hybrid search, reranking and retrieval optimisation.
• Experience designing evaluation methodologies for LLM-based applications.
• Solid understanding of AWS cloud infrastructure.
• Experience integrating hosted LLM APIs and deploying at least one open-weight language model.
• Будет плюсом: PostgreSQL and pgvector; Prompt engineering and context optimisation; LLM caching, batching and model routing; TypeScript; Production monitoring and observability; Experience with GDPR-sensitive or confidential document workflows; Familiarity with RegTech, financial services or compliance-related applications

• 6 months (extension possible)
• Minimum 4 hours overlap with Central European Time (CET)