Description

You will lead the design and deployment of scalable Generative AI systems.

This role is on-site.

Responsibilities

• Design and deploy MCP servers in Python using FastMCP for scalable AI systems.
• Implement tool-calling, memory, and structured context handling for LLM-driven systems.
• Build and optimize RAG pipelines using embeddings and vector databases for enhanced performance.
• Develop and orchestrate agentic workflows using relevant frameworks.
• Integrate Azure OpenAI and Gemini LLM APIs into production systems effectively.

Required Skills

• 5+ years of strong Python backend development experience, including asynchronous programming and concurrent request handling.
• Hands-on experience with Generative AI, Machine Learning, and LLMs.
• Expertise in building and optimizing RAG pipelines with Vector Databases.
• Proficiency in using Python, LLM concepts, and FastMCP.
• Experience containerizing and deploying services using Docker.
• Demonstrated ability to apply advanced prompt engineering techniques (ReAct, CoT, function-calling).
• Experience integrating Azure OpenAI.
• Ability to build secure APIs using modern web standards.

Key Skills

Education

Any Graduate