Summary
Written in English from the original postingMad Devs is hiring a mid-level applied AI/LLM engineer to build LLM pipelines, AI agents, and RAG systems in Python. The role includes production Python services, data-driven product validation, and optimizing LLM quality, performance, and cost. It is remote for candidates located outside Russia and Belarus.
Job description
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.
Тип: Удаленная работа
Зарплата: 2300 - 2800 USD в месяц
