AI Engineer

EMB Global

Location- Gurugram

Experience- 8–12 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 AI Engineer to design, build, and ship production AI systems, including agentic AI applications, for enterprise clients. This is a hands-on engineering role: you will write production code, build and evaluate models and agents, and work closely with architects and product teams to take solutions from prototype to scale.

Key Responsibilities

Design and build agentic AI systems: agent workflows, tool/function-calling, memory, and human-in-the-loop patterns.

Build and productionise RAG pipelines, prompt-based applications, and LLM integrations across providers.

Develop and maintain data and ML pipelines: feature engineering, model training, evaluation, and monitoring.

Integrate AI systems with enterprise applications (CRMs, ERPs, ITSM tools) via APIs, events, and MCP-based tool servers.

Implement guardrails, prompt-injection defences, and evaluation frameworks to keep AI systems safe and reliable in production.





Write clean, tested, production-grade code and participate actively in code and design reviews.

Collaborate with architects, product managers, and delivery teams to translate requirements into working AI solutions.

Troubleshoot and optimise AI systems for accuracy, latency, and cost in production.

Required Qualifications

8–12 years of hands-on software engineering experience, with a strong, unbroken technical track record.

Hands-on experience building and shipping AI/ML systems in production, not just POCs.

Practical experience with agentic AI systems and at least one major agent framework (LangGraph, CrewAI, AutoGen, OpenAI

Agents SDK, Bedrock Agents/Strands, or Semantic Kernel).

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

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

Working knowledge of ML fundamentals: model evaluation, feature engineering, and experimentation.

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, and observability.





Preferred Qualifications

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

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

Experience with multilingual (e.g. Arabic/English) conversational or agentic AI experiences.

Certifications: AWS ML Specialty, AWS Solutions Architect Associate/Professional, or Azure Data Scientist Associate.

Open-source contributions, technical writing, or conference speaking in the AI space.

What We Offer

Hands-on impact: build production AI systems used by real enterprise and government clients.

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

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

Career trajectory: a credible path to Principal Engineer or Solution Architect.

About the Company:

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Website- https://emb.global

📌 AI Engineer (Gurugram)
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