Assistant Manager

LatentView Analytics Ltd.; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

LatentView Analytics Ltd. seeks an experienced Enterprise AI Agent Architect to design, build, and scale enterprise-grade agentic AI systems. The role focuses on architecting multi-agent frameworks using RAG, LangGraph, and MCP, with a Python backend and React/Node.js frontend.

You will lead and mentor a team of AI professionals, championing best practices, CI/CD, and DevOps across the AI development lifecycle, while ensuring secure and scalable deployments.

Qualifications

• Experience designing production-grade AI agents for enterprise scale.
• Strong understanding of enterprise integration, security, and scalability requirements.
• Familiarity with RAG, LangGraph, MCP and agentic AI frameworks.

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

Job description

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