Agentic AI Engineer - (EST Shift & South India Candidates Only)

The vecA; Chennai District; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

The vecA is seeking an Agentic AI / Gen AI Engineer to join our Chennai team on a hybrid basis with EST shift. We require 3+ years of AI experience and hands-on work with LangGraph, MCP, Claude Code, and multi-agent systems.

You will build production-grade AI solutions and collaborate across distributed engineering teams. Ideal candidates will have strong Python, API, FastAPI, Docker, and data- handling skills, including RAG pipelines and vector databases.

Qualifications

• 3+ years of AI experience in production or deployment.
• Strong knowledge of LangGraph and MCP.
• Experience with multi-agent systems and agentic AI.
• Proficient in Python and API development.

Responsibilities

• Build and deploy production-grade Agentic AI and multi-agent solutions.
• Design LangGraph-based agent workflows, including tool calling and complex multi-step processes.
• Develop AI-powered APIs, backend services, RAG pipelines, and vector-based solutions.
• Evaluate, test, monitor, and improve the reliability and performance of AI systems.
• Own AI solutions end-to-end from POC to production and collaborate with distributed engineering teams.

Skills

Python

Azure AI Foundry & Microsoft Azure

LangGraph & Model Context Protocol (MC

Claude Code

Agentic AI / Multi-Agent Systems

FastAPI

Docker

PostgreSQL

SQL

RAG

Vector Databases

GitHub

APIs

AI Evaluation

Tools

Azure AI Foundry

Microsoft Azure

Job description

We're Hiring: Agentic AI / Gen Ai Engineer | Chennai | Hybrid | EST Shift

Location: Chennai (Only South India candidates for Relocation)

Work Mode: Hybrid, EST Shift

Experience: 3+ Years in Ai

Notice Period: 30 Days Max (More than 30 days' notice is not considered)

Must-Have Skills

• Python
• Azure AI Foundry & Microsoft Azure
• LangGraph & Model Context Protocol (MCP)
• Claude Code (Mandatory)
• Agentic AI / Multi-Agent Systems
• FastAPI, Docker, PostgreSQL & SQL
• RAG & Vector Databases (pgvector, Azure AI Search)
• GitHub, APIs & AI Evaluation

Key Responsibilities / KRA

• Build and deploy production-grade Agentic AI and multi-agent solutions.
• Design LangGraph-based agent workflows, including tool calling and complex multi-step processes.
• Develop AI-powered APIs, backend services, RAG pipelines, and vector-based solutions.
• Evaluate, test, monitor, and improve the reliability and performance of AI systems.
• Own AI solutions end-to-end from POC to production and collaborate with distributed engineering teams.