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We're looking for an AI Engineer to own the AI layer of our products - from research and experimentation to production deployment. You'll have end-to-end ownership of AI initiatives, work on real-world GenAI challenges, and help shape the future of AI-powered products.

What will need to do:

• Design and build LLM pipelines, AI agents, and RAG-based systems: function/tool calling, structured output (JSON schema)
• Develop production-grade Python services (Django, Celery, Redis)
• Validate product hypotheses using real-world data and analytics
• Measure and optimize LLM quality, performance, and cost
• Collaborate closely with product managers and engineers to turn ideas into scalable solutions

Who and where are we looking for:

• Strong experience building production LLM applications
• Hands-on expertise with RAG, embeddings, vector search, prompt engineering, and LLM evaluation
• Experience with LangGraph, LangChain, or similar frameworks
• Solid Python backend background (Django, PostgreSQL, async programming)
• Strong SQL/Pandas skills and a data-driven mindset
• Language Proficiency: English at B2-C1 level, Russian at C1 level
• Location: any, except Russia and Belarus

It will be a plus:

• Experience with vector databases (Qdrant, pgvector, etc.)
• Fine-tuning, text classification, or embedding models
• Kubernetes, gRPC, or Go experience

Why Join Us:

At Mad Devs, you'll join a passionate team dedicated to solving complex challenges and delivering innovative solutions. Our projects span Europe, the USA and South East Asia, giving you the opportunity to make a global impact. We value flexibility, remote working and professional development, ensuring you thrive in an inspiring environment. Join us in revolutionizing the legal industry with AI!