Unidatalab is looking for a Machine Learning Engineer for part-time involvement (up to 20-30 h/week), familiar with LLMs, RAG, and backend development.
Responsibilities:
- Develop conversational flows using LLMs and RAG;
- Implement and serve APIs with FastAPI;
- Work with embeddings, semantic search, and LangChain;
- Collaborate in a fast-paced, practical AI product environment.
Requirements:
- 1-2 years of commercial experience in ML or AI;
- Strong Python skills and practical FastAPI experience;
- Understanding of LLMs, RAG concepts, and prompt engineering;
- Familiarity with REST APIs, JSON, and authentication;
- SQL and Docker experience;
- Knowledge of LangChain and embeddings is a plus;
- Upper Intermediate level of English.
Tech stack: Python, FastAPI, Docker, LLMs, RAG, LangChain, Embeddings, SQL, REST API.
About Us:
Unidatalab is a leading AI company from Ukraine, founded in 2019, with a strong research-driven team specializing in Generative AI, Conversational AI, SpeechTech, and Natural Language Processing.
We provide R&D services and build advanced tech solutions, including:
- Gen AI (chatbots, copilots, assistants, AI agents, LLM integrations);
- NLP (document-related automation);
- Speech/Voice AI (speech-to-text, text-to-speech, speech-to-speech, etc);
- Integration of ready-made products developed by our team.
We work with global clients across the US and European markets, helping them build AI solutions.