Client -is a multinational IT and telecommunications company providing services to the global air transport industry. The client is running R&D and POC projects aimed at supporting airport operations (ticketing, staff notifications, control room assistants, etc.).
Requirements • Strong experience in AI/ML engineering, ideally with agentic AI or multi-agent frameworks. • Hands-on experience with FastAPI. • Familiarity with AI agent frameworks (LangGraph or similar). • Solid knowledge of MCP (Model Context Protocol). • Experience with vector databases (e.g. Pinecone, Weaviate, FAISS) and relational databases (e.g. PostgreSQL, MySQL). • Backend development fundamentals: CRUD operations, API design, system integration. • Containerization and orchestration: Docker Compose. • Cloud infrastructure knowledge: Azure and/or GCP. • Proficiency in Python and modern AI/ML libraries. • Strong problem-solving and system design skills. • English B2 or higher (daily communication with an international team).
Responsibilities
• Collaborate daily with the client’s technical and product teams. • Build and prototype Agentic AI solutions in an R&D / POC environment. • Design and implement backend systems and APIs (FastAPI-based). • Integrate and manage data pipelines (flight schedules, operational data, etc.). • Work with knowledge bases and system integrations (vector databases, relational databases, MCP). • Deploy and maintain services using Docker Compose and cloud infrastructure (Azure, GCP). • Develop scalable solutions starting small and iterating quickly.
Project duration: 6+ months Location: EU or Ukraine
