Middle applied AI / LLM Engineer (Python)
Коротко
Owns the AI layer of products, building LLM pipelines, AI agents, and RAG systems, and developing production Python services with Django, Celery, and Redis. · Needs: 1+ year NLP in production; production LLM applications; RAG, embeddings, vector search, prompt engineering; LangGraph or LangChain; 2+ years Python backend
Описание от работодателя
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. 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.