AI/ML Engineer

Core Responsibilities

• Agentic AI & MCP Integration: Implement agentic frameworks (e.g., LangGraph, AutoGen) and Model Context Protocol (MCP) for secure tool orchestration.


• Generative AI Development: Build LLM-based applications with RAG, structured output, and evaluation frameworks.


• AWS ML Engineering: Deploy models using SageMaker pipelines, ECS/ECR, Lambda; manage CI/CD and monitoring.


• Security & Identity: Integrate Okta/JWT token for API and service authentication; enforce token validation and claims.


• Governance : Deliver artifacts required by MDLC/MPLC (Model Documents, Data Dictionary, Monitoring Plan).


• Collaboration: Partner with PO, and business stakeholders to align solutions with objectives.

Responsibilities

• Design, develop, and optimize complex...