Experience : 5 - 8 Years

Location : Bengaluru

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 :

- Agentic AI System Design
- Enterprise Systems Integration, LLM/RAG Engineering, Cloud Architecture

📌 Assistant Manager/Enterprise AI Agent Architect (India)
🏢 NovoTree Minds Consulting
📍 India