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 you will do:
- Design and build LLM pipelines, AI agents, and RAG-based systems, including function and tool calling and structured outputs using JSON schemas.
- 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 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.
Additional experience we value:
- Hands-on work with vector databases such as Qdrant or pgvector.
- Fine-tuning, text classification, and embedding model development.
- Working knowledge of Kubernetes, gRPC, or Go.
At Mad Devs, you will join a company that values creativity, strategic thinking, and continuous improvement. You will work on projects that reach millions of users worldwide, alongside a strong and supportive team. Here, you will grow professionally, take on meaningful challenges, and contribute to products that solve real problems at scale.