Engineering Manager – AI

EMB Global

Location- Gurugram

Experience- 10 Years

About EMB Global

EMB Global is a technology services and AI transformation partner headquartered in Gurugram, India, operating across 20 countries. Founded in 2018, the company has grown into an AI delivery engine for enterprises, helping organisations move beyond pilots and demos into AI that is embedded directly into decision systems, workflows, and measurable business outcomes. As an AWS Advanced Tier Services Partner, we build enterprise-grade cloud and AI platforms for leading enterprise and government clients, backed by a proprietary product suite spanning intelligence, execution, and monitoring layers for agentic AI systems.

Role Overview

We are looking for an Engineering Manager to lead a team building agentic AI and GenAI systems for enterprise clients. This is a player-coach role: you will manage engineers and their delivery, while staying hands-on enough to review architecture, unblock hard technical problems, and hold the line on quality and craft. You will own team output, technical direction, and delivery predictability for your pod.

Key Responsibilities

Manage and grow a team of AI/ML and software engineers building agentic AI and GenAI systems in production.

Own technical direction for the team: architecture choices, design patterns, and code quality for agent workflows, RAG pipelines, and LLM integrations.

Plan and track delivery: break down roadmaps into sprints, manage timelines, and remove blockers to keep the team predictable and on schedule.

Stay hands-on: review code and designs, pair on hard problems, and step in on critical issues when needed.

Own team hiring, onboarding, performance management,



and growth opportunities for engineers on the team.

Partner with architects, product managers, and delivery leads to translate client requirements into engineering plans.

Own engineering quality bar: testing, CI/CD, code review standards, and production reliability for AI systems.

Drive adoption of evaluation, guardrails, and observability practices for agentic AI and LLM-based systems.

Represent the team's technical progress and risks to senior leadership and, where needed, to clients.

Required Qualifications

10 years of hands-on software engineering experience, with a strong, unbroken technical track record.

Demonstrated experience managing or leading engineering teams, including hiring, performance management, and career development.

Hands-on experience building agentic AI systems, including at least one major agent framework (LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Bedrock Agents/Strands, or Semantic Kernel).

Practical experience with GenAI/LLM systems: RAG pipelines, prompt engineering, structured outputs, and tool calling across providers.

Strong Python skills (TypeScript/Node.js a plus), with production-grade testing, CI/CD, and API design practices.

Experience managing delivery: sprint planning, estimation, and predictable execution against timelines.

Cloud-native experience on AWS and/or Azure: containers, serverless, event backbones,



and vector databases.

Understanding of LLM safety and reliability practices: guardrails, prompt-injection defences, evaluation, and observability.

Preferred Qualifications

Experience managing distributed or hybrid engineering teams.

Experience integrating enterprise systems such as Salesforce, Microsoft Dynamics, ServiceNow, or SAP.

Experience with fine-tuning, model distillation, or self-hosted/open-weight model deployment.

Experience working with stakeholders from the Middle East, ideally government or semi-government entities.

Certifications: AWS ML Specialty, AWS Solutions Architect Professional, or Azure Solutions Architect Expert.

What We Offer

Ownership: real authority over technical direction and delivery for your team.

AWS Advanced Tier ecosystem: direct access to AWS specialist teams and competency pathways.

Global exposure: clients across 20 countries and regular engagement with senior leadership.

Career trajectory: a credible path to Director of Engineering or Head of AI Engineering.

About the Company:

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Website- https://emb.global

📌 Engineering Manager- AI (Gurugram)
🏢 ConsultBae India Private
📍 Gurugram