Role & responsibilities

The AI Automation Engineer supports the Delivery Transformation Office in identifying, designing, developing, deploying, and supporting AI-led automation solutions across delivery programs. This is a fully hands-on engineering role the successful candidate personally owns the complete journey from use-case discovery through architecture, development, testing, deployment, and production stabilization.

This is not a coordination, governance, or proof-of-concept-only role. You will write code, build integrations, create AI agents, troubleshoot failures, deploy applications, and keep solutions secure in production.

Preferred candidate profile
Strong hands-on Python development and automation engineering able to independently build and deploy production-grade applications.
Practical experience with Generative AI, LLM APIs, prompt engineering, structured outputs, and tool calling; hands-on with Claude, Claude Code, or equivalent tools.




Experience building AI agents or multi-step agentic workflows.
Robust REST API, JSON, authentication, and enterprise integration skills.
Solid SQL and data-processing capability; experience with browser or desktop automation.
Solid knowledge of Git, Docker, CI/CD, automated testing, and production troubleshooting.
Experience deploying solutions into cloud or enterprise environments.

Preferred
LangGraph, Semantic Kernel, AutoGen, Claude Code, or similar agent frameworks.
Vector databases, embeddings, semantic search, and RAG pipeline design.
React, JavaScript, or TypeScript; Redis, Celery, ARQ, or event-driven processing.
OCR, document intelligence, multimodal AI; Kubernetes or serverless deployment.
AI evaluation, agent tracing, and LLM observability tooling.

📌 Ai Automation Engineer Chennai (India)
🏢 Mastech Digital
📍 India