Description

Engineering Manager

Requirements

This position will design and build intelligent AI agent systems, LLM-based applications, and autonomous

workflow solutions within the context of our enterprise applications. We are looking for a candidate to provide

expertise in Large Language Models, multi-agent architectures, RAG systems, Python development, cloud AI

services, and enterprise AI integration. This individual will have broad experience in developing and deploying

agentic AI solutions that can autonomously perform complex business tasks.

Job responsibilities

4-6 years’ hands-on experience working as Sr AI/ML Developer with at least three complete agentic AI

system implementations

 4-6 years’ hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)

 4-6 years hands-on experience with Python AI/ML frameworks (LangChain, LlamaIndex, Transformers,

PyTorch)

 4-6 years’ hands-on experience integrating LLMs with external systems and enterprise applications

 Experience working with vector databases, knowledge graphs,



and RAG pipeline development

 Advising on best practices for AI agent development and enterprise AI integration processes

 Experience in deploying AI models and agents in multiple environments (dev, staging, production)

 Experience managing stakeholder communication regarding AI capabilities, limitations, and project

timelines, including managing expectations, foreseeing AI-related risks and reporting them

What we offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Setting: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities

Work-Life Balance: GlobalLogic prioritizes work-life

📌 AI Manager9 (Noida)
🏢 GlobalLogic
📍 Noida