ai engineer

Mad Devs develops AI-powered solutions and delivers projects across Europe, the USA, and South East Asia, with a focus on revolutionizing the legal industry through AI.

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

• At least 1 year of experience with NLP projects in production;
• 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;
• At least 2 years of solid Python backend experience with Django, PostgreSQL, and async programming;
• Strong SQL and Pandas skills with a data-driven mindset;
• English at B2-C1 level;
• Russian at C1 level;
• Nice to have: experience with vector databases such as Qdrant or pgvector, fine-tuning, text classification or embedding models, Kubernetes, gRPC, or Go.

• Salary in dollars;
• Flexible working hours;
• Remote-first culture;
• Long-term projects;
• Professional communities;
• Onsite business trips;
• Training budget;
• Paid conferences.