Machine Learning Engineer-Agentic Ai

ML Engineer – Agentic AI

Responsibilities

• Design and implement multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen or similar frameworks.
• Build A2A (agent-to-agent) orchestration and implement MCP (multi-context protocol) for context reuse and collaboration.
• Fine-tune foundation models (LoRA, RLHF, DPO) and integrate retrieval-augmented generation (RAG) pipelines.
• Develop APIs and backend services (FastAPI / Flask / Node.Js) and integrate with enterprise systems (HRIS, CRM, ERP).
• Build secure data pipelines (ETL, embeddings, vector DB ingestion) and ensure governance, bias mitigation, and lineage.
• Containerize, deploy, and monitor agents (Docker, Kubernetes, CI / CD pipelines) with observability and drift detection.
• Collaborate with QA, red teaming, and product leads to benchmark accuracy, safety, and compliance.

Skills Required