This role is an offshore Agentic AI & MLOps Engineer Lead responsible for the end-to-end AI/ML delivery lifecycle.

The position involves building MLOps pipelines, managing model/prompt deployment, and ensuring system observability and governance.

Key technical tasks include designing agentic workflows using frameworks like LangGraph, AutoGen, or CrewAI, and integrating them with messaging and API services.

Candidates must have 4 years of experience in MLOps, AI, or Platform Engineering, along with solid Python and Linux skills.

Operational responsibilities include CI/CD management, Terraform infrastructure deployment, and maintaining reliability for AI services in production.

The role requires collaboration with data scientists and engineers to support batch and real-time inference within an enterprise environment

This role is an offshore Agentic AI & MLOps Engineer Lead responsible for the end-to-end AI/ML delivery lifecycle.





The position involves building MLOps pipelines, managing model/prompt deployment, and ensuring system observability and governance.

Key technical tasks include designing agentic workflows using frameworks like LangGraph, AutoGen, or CrewAI, and integrating them with messaging and API services.

Candidates must have 4 years of experience in MLOps, AI, or Platform Engineering, along with strong Python and Linux skills.

Operational responsibilities include CI/CD management, Terraform infrastructure deployment, and maintaining reliability for AI services in production.

The role requires collaboration with data scientists and engineers to support batch and real-time inference within an enterprise environment

📌 Agentic AI & MLops Enginee (India)
🏢 Virtusa
📍 India