Ai Ml Engineer

EY; Kolkata District, Pune District, Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

EY is seeking an AI engineer to design, develop, and deploy agentic AI solutions using LLMs and orchestration frameworks to automate business processes. You will integrate NLP and AI services into enterprise platforms via APIs and cloud-native tools, build Python-based automations, and collaborate with cross-functional teams to scale AI capabilities responsibly.

The role involves hands-on coding, testing, monitoring, and optimizing AI agents for reliability, performance, and security, with EY

Qualifications

• Hands-on experience with LLMs, prompt engineering, and RAG.
• Experience integrating AI services into enterprise workflows.
• Proficiency in Python and API/SDK-based integrations.

Responsibilities

• Design, develop, test, and deploy agentic AI solutions to automate processes.
• Integrate LLMs, NLP, and AI services with enterprise applications via APIs.
• Develop automation workflows using Python and AI frameworks.
• Monitor and optimize AI agents for reliability, scalability, and security.
• Collaborate with cross-functional teams to operationalize AI capabilities.
• Document technical details and promote best practices.

Skills

LLMs

Prompt engineering

RAG

AI agents

Orchestration frameworks

Python

APIs & SDKs

Cloud platforms

Tools

LangChain

LangGraph

Semantic Kernel

CrewAI

AutoGen

Job description

Skills and attributes for success

• Hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and agent orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar technologies.
• Strong understanding of Generative AI, NLP, machine learning concepts, and experience integrating AI services into enterprise applications and business workflows.
• Proficiency in Python and experience integrating enterprise systems through APIs, SDKs, and cloud-native services to develop AI-powered automation solutions.
• Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud, including AI/ML services, vector databases, embeddings, and semantic search technologies.
• Understanding of AI governance, Responsible AI principles, security, privacy, and operational practices such as DevOps, MLOps, and LLMOps is an added advantage.
• Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively across AI, engineering, operations, platform, and business teams to deliver impactful AI solutions.

Your Key Responsibilities

• Design, develop, test, and deploy Agentic AI solutions leveraging LLMs, retrieval systems, AI agents, and orchestration frameworks to automate business and operational processes.
• Integrate LLMs, NLP, Computer Vision, and other AI/ML services with enterprise applications and platforms through APIs, SDKs, and cloud-native technologies.
• Develop custom applications, services, and automation workflows using Python and modern AI frameworks to enable intelligent process automation and system integration.
• Monitor, troubleshoot, maintain, and optimize AI agents and automated workflows to ensure reliability, scalability, performance, and security.
• Collaborate with AI Platform, Engineering, Operations, and Business teams to identify use cases, implement AI solutions, and operationalize enterprise AI capabilities.
• Create technical documentation, contribute to reusable AI accelerators and best practices, and ensure solutions comply with security, governance, risk management, and Responsible AI standards.