Applied AI​/LLM engineer

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.

• 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.

• 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 Lang Graph, Lang Chain, 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.
• Будет плюсом:
  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.

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