Role Description

AI Engineering Lead AI Platform & Agent Systems

Location: Bangalore, India

Experience: 2 to 8 Years

Type: Full time

Role Overview

We are building a next-generation Enterprise AI Platform powering AI Agents, Multi-Agent Systems, RAG Applications, AI Workflows, and Knowledge Platforms.

We are looking for an AI Engineering Lead who will drive the design, architecture, and productionization of AI systems at scale. This is a hands-on leadership role responsible for owning the end-to-end lifecycle of AI infrastructure and applications—from design and development to deployment, operations, and continuous optimization.

You will lead the AgentOps and AI Platform engineering efforts, ensuring that AI systems are scalable, reliable, secure, and enterprise-ready across cloud and hybrid environments.

Key Responsibilities

AI Platform & Architecture Leadership

Lead the architecture and development of AI platforms supporting agents, workflows, RAG systems, and LLM-based applications.
Define best practices for AI system design, model orchestration, inference pipelines,



and runtime infrastructure.
Drive the evolution of AgentOps frameworks for managing AI agents at scale.

Engineering Leadership

Provide technical leadership and mentorship to a team of engineers working on AI infrastructure and platform systems.
Collaborate cross-functionally with AI Research, Product, and Platform teams to deliver production-grade AI solutions.
Establish engineering standards, design patterns, and development practices.

AI Systems & AgentOps

Design and manage AI agent architectures, workflow orchestration, and multi-agent systems.
Build and operate Model Gateways and LLM routing layers across providers (OpenAI, Azure OpenAI, Claude, Gemini, etc.).
Lead development of RAG systems with vector databases and retrieval pipelines.
Optimize latency, throughput, and cost of AI workloads.

Platform & Infrastructure Engineering

Own Kubernetes-based platforms for scalable AI work

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