Designation : Assistant Manager

Level : L3

Location : Bengaluru

Experience : 6-10 years

Job Role :

We are seeking an experienced Enterprise AI Agent Architect to design, build, and scale enterprise-grade agentic AI systems. The role involves architecting multi-agent frameworks using RAG, LangGraph, and MCP (Model Context Protocol), with a technology stack comprising Python on the backend and React/Node.js on the frontend. The ideal candidate will have hands-on experience building production-grade AI agents and a strong understanding of enterprise integration, security, and scalability requirements. This person will also lead and mentor a team of AI professionals, championing best practices, CI/CD, and DevOps across the AI development lifecycle.

Responsibilities :

- Architect and design enterprise-level agentic AI frameworks using RAG, LangGraph, and MCP

- Define and enforce best practices for AI agent design, development, and deployment

- Lead, mentor, and upskill a team of AI professionals

- Drive adoption of CI/CD pipelines and DevOps practices across AI projects

- Oversee end-to-end development of AI agents with Python backend and React/Node.js frontend

- Collaborate with cross-functional teams to integrate AI agents into enterprise systems

- Ensure scalability, security, and reliability of deployed agentic AI solutions

- Stay current with emerging trends in agentic AI, LLMs, and related frameworks

- Conduct code reviews and technical design reviews to maintain engineering quality

- Establish monitoring, evaluation, and governance frameworks for AI agent performance

Skills Required:

Agentic AI System Design

Enterprise Systems Integration, LLM/RAG Engineering, Cloud Architecture