About the Role
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
Requirements
•Experience with NLP projects in production, 1+ year
•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, 2+ years (Django, PostgreSQL, async programming)
•Strong SQL/Pandas skills and a data-driven mindset
•Language proficiency: English at B2–C1, Russian at C1
•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!
