Role overview
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.
Python
LLM
Responsibilities
- 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
Basic qualifications
- 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*<em>:</em>* any, except Russia and Belarus
Preferred qualifications
- Experience with vector databases (Qdrant, pgvector, etc.)
- Fine-tuning, text classification, or embedding models
- Kubernetes, gRPC, or Go experience
Benefits
- Flexible working hours
- Remote-first culture
- Long-term projects
- Salary in dollars
- Professional communities
- Onsite business trips
- Training budget
- Paid conferences
About the company
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!
Tags & focus areas
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