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ConsultBae India Private limited

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+&nbsp;countries. Founded in 2018, the company has grown into an AI delivery engine for enterprises, helping organisations move&nbsp;beyond pilots and demos into AI that is embedded directly into decision systems, workflows, and measurable business&nbsp;outcomes. As an AWS Advanced Tier Services Partner, we build enterprise-grade cloud and AI platforms for leading enterprise&nbsp;and government clients, backed by a proprietary product suite spanning intelligence, execution, and monitoring layers for&nbsp;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&nbsp;player-coach role: you will manage engineers and their delivery, while staying hands-on enough to review architecture, unblock&nbsp;hard technical problems, and hold the line on quality and craft. You will own team output, technical direction, and delivery&nbsp;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&nbsp;pipelines, and LLM integrations. Plan and track delivery: break down roadmaps into sprints, manage timelines, and remove blockers to keep the team&nbsp;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 career growth 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&nbsp;development. Hands-on experience building agentic AI systems, including at least one major agent framework (LangGraph, CrewAI,&nbsp;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&nbsp;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:
𝗢𝘂𝘁𝘀𝗼𝘂𝗿𝗰𝗶𝗻𝗴 𝘄𝗮𝘀𝗻’𝘁 𝗯𝘂𝗶𝗹𝘁 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗔𝗜 𝗲𝗿𝗮. 𝗦𝗼 𝘄𝗲 𝗯𝘂𝗶𝗹𝘁 𝘁𝗵𝗲 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺 𝗳𝗼𝗿 𝗶𝘁. At 𝗘𝗠𝗕 𝗚𝗹𝗼𝗯𝗮𝗹, we’re creating the 𝗳𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸, 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺 𝗳𝗼𝗿 𝗼𝘂𝘁𝘀𝗼𝘂𝗿𝗰𝗶𝗻𝗴 - unifying how enterprises scope, solution, and deliver complex tech projects. 𝗔𝘂𝗿𝗮 𝗢𝗦, trained on 𝟴𝟬,𝟬𝟬𝟬+ 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝘀𝗰𝗼𝗽𝗲𝘀 𝗮𝗻𝗱 𝟱𝟬𝟬,𝟬𝟬𝟬+ 𝗽𝗿𝗼𝗰𝘂𝗿𝗲𝗺𝗲𝗻𝘁 𝗱𝗮𝘁𝗮 𝗽𝗼𝗶𝗻𝘁𝘀, replaces the fragmented, people-heavy IT model with an 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁, 𝗼𝘂𝘁𝗰𝗼𝗺𝗲-𝗱𝗿𝗶𝘃𝗲𝗻 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗹𝗮𝘆𝗲𝗿 - bringing 𝗽𝗿𝗲𝗰𝗶𝘀𝗶𝗼𝗻, 𝘀𝗽𝗲𝗲𝗱, 𝗮𝗻𝗱 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 to enterprise delivery. EMB isn’t just scaling smarter, 𝗶𝘁’𝘀 𝗿𝗲𝗱𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝗵𝗼𝘄 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀 𝗯𝘂𝗶𝗹𝗱 𝗶𝗻 𝘁𝗵𝗲 𝗔𝗜 𝗲𝗿𝗮.
Website- https://emb.global