AI Engineer - Agentic AI & Back End

Responsibilities

• Design and implement AI solutions, focusing on agentic workflows and backend engineering
• Build backend services and APIs in Python using frameworks such as FastAPI or similar
• Develop orchestration patterns for agentic workflows, including intent classification, tool calling, routing and supervisor/worker flows
• Create and maintain AI tools and skills with clear interfaces, testing and secure execution
• Configure and integrate MCP servers and clients for enterprise-grade agent connectivity
• Develop RAG-based solutions, including GraphRAG and Agentic RAG, aligned with client requirements
• Work with agent frameworks and SDKs such as Pydantic AI, LangGraph/LangChain or Microsoft Agent Framework
• Define evaluation strategies for agentic systems using automated and human-in-the-loop methods
• Implement telemetry and observability solutions to monitor performance and quality
• Leverage AI-assisted tools such as Claude Code, OpenAI Codex or GitHub Copilot to accelerate development

Languages