GenAI / Agentic AI Engineer

Quick Facts

• Role: GenAI / Agentic AI Engineer

• Focus: Python, FastAPI/FastMCP, agentic workflows, LLM integration, and Microsoft Azure

Description

Senior Python developer role focused on building scalable, production-grade GenAI and agentic AI applications. You will develop REST APIs with FastAPI, implement MCP servers/tools with FastMCP, integrate LLMs such as OpenAI GPT and Anthropic Claude, and build agent-based multi-step workflows. The position also requires end-to-end delivery including Azure deployment, containerization, CI/CD, monitoring, logging, tracing, and observability.

Responsibilities

• Design, develop, and maintain scalable Python applications

• Build high-performance REST APIs and backend services with FastAPI (authentication/authorization, async processing, error handling)

• Implement application integrations using FastAPI and FastMCP

• Design and implement MCP servers and tools using FastMCP

• Build agentic workflows that execute multi-step tasks (tool calling, orchestration, context management)

• Integrate LLMs and build LLM-powered assistants/automation (prompt engineering, structured outputs)

• Develop and deploy on Microsoft Azure, including AKS, Cosmos DB, and Azure Cache for Redis

• Build and manage Docker containers; deploy and orchestrate with Kubernetes/AKS

• Implement CI/CD pipelines with GitHub Actions

• Add monitoring, logging, tracing, and observability for production systems

Requirements

• Strong hands-on Python development experience

• Mandatory expertise in FastAPI

• Mandatory expertise in FastMCP

• Mandatory experience building agentic workflows

• Mandatory LLM/Generative AI integration experience

• Microsoft Azure experience

• End-to-end experience across API development, AI integration, cloud deployment, containerization, monitoring/observability, and DevOps

Benefits

Not specified in the provided text.