Introduction
The position focuses on agent development, prompt engineering, and AI pipeline implementation within secure and governed environments
Your role and responsibilities
- Apply Model Context Protocol (MCP) standards to manage agent orchestration
- Integrate GenAI components into hybrid and cloud-native enterprise platforms
- Implement modular GenAI agents for data operations and accelerators
- Develop reusable prompt engineering templates integrated into agent workflows
Required education
Master’s Degree
Required technical and professional expertise
- Experience in Python development and AI engineering
- Proven track record in developing GenAI agents and production-grade ML systems
Preferred technical and professional experience
- Agentic Frameworks: Strong, hands-on experience with LangChain and LangGraph.
- RAG/Graph RAG: Experience with graph-based retrieval and knowledge graphs.
- Handson experience with GenAI agents, LLM integration, and prompt engineering
