Applied AI/LLM Engineer at Maddevs.
What you will 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 / Who we are looking for:
- 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 B2-C1, Russian C1
Location: any, except Russia and Belarus (remote)
Will be a plus:
- Experience with vector databases (Qdrant, pgvector, etc.)
- Fine-tuning, text classification, or embedding models
- Kubernetes, gRPC, or Go experience