EY is hiring AI Engineers for its Gurugram, Haryana team. This opportunity is aimed at candidates with 0โ2 years of experience who have hands-on knowledge of Artificial Intelligence, Machine Learning, Deep Learning, NLP, Large Language Models, AI Agents and Retrieval-Augmented Generation (RAG).
The role offers exposure to modern Generative AI and intelligent automation solutions, along with technologies such as Python, FastAPI/Flask, MSSQL, Azure, Docker and Git.
๐ Job Details
๐ Company: EY (Ernst & Young)
๐ผ Role: AI Engineer
๐ฏ Experience: 0โ2 Years
๐ Location: Gurugram, Haryana
๐ข Work Mode: Hybrid
๐ป Core Technologies: Python, AI/ML, Deep Learning, NLP, LLMs, AI Agents, RAG
๐ APIs: REST APIs, FastAPI/Flask
๐๏ธ Database: MSSQL
โ๏ธ Good to Have: Azure, Docker, Git
๐ฉ Apply: amit.kumar47@in.ey.com
๐ข About EY
EY is a global multidisciplinary professional services organization working across Assurance, Consulting, Strategy and Transactions, and Tax. Its technology and consulting teams work with organizations across industries on transformation, data, AI and other complex business challenges.
EY has also established EY.ai, bringing together its AI innovation and development efforts. EY India says its workforce includes more than 120,000 people across its entities, including AI and technology specialists.
For an early-career AI professional, this means the role can provide exposure to enterprise technology environments rather than only academic or experimental AI projects.
๐ Why This Role Is Good for Experience?
This position covers several areas that are increasingly important in modern AI engineering. Instead of focusing on only traditional machine learning, the JD combines LLMs, NLP, AI Agents and RAG with backend API development.
You can potentially build experience in taking AI capabilities beyond notebooks and integrating them into usable applications. Working with FastAPI/Flask, MSSQL, Docker, Git and potentially Azure can also strengthen your software-engineering fundamentals.
๐ง Skills Required
Candidates should be comfortable with:
- ๐ Python: OOP, data structures, functions, packages and writing production-quality code.
- ๐ค Machine Learning: Supervised/unsupervised learning, model evaluation, feature engineering and basic model selection.
- ๐ง Deep Learning: Neural networks and practical understanding of architectures used for NLP.
- ๐ฌ NLP & LLMs: Tokenization, embeddings, prompting, transformers and LLM application development.
- ๐ต๏ธ AI Agents: Agent workflows, tool calling, planning and multi-step task execution.
- ๐ RAG: Document ingestion, chunking, embeddings, vector search, retrieval and context generation.
- โก FastAPI/Flask: Building REST APIs around AI/ML applications.
- ๐๏ธ MSSQL: SQL queries, joins, filtering and handling application data.
- โ๏ธ Azure/Docker/Git: Useful additional skills for deployment and collaboration.
๐ฏ EY AI Engineer Interview Rounds
- ๐ Recruiter/Initial Discussion: Resume, experience, location, notice period and role fit.
- ๐ป Technical Interview: Python, ML/DL, NLP, LLMs, RAG, APIs and SQL.
- ๐งฉ AI/Project Discussion: Expect detailed questions about projects, architecture, datasets, model selection and how you solved technical problems.
- ๐ค Behavioral/Managerial Discussion: EY emphasizes examples from real experiences, including the situation, your actions and the outcome.
- ๐ Final/Leadership Discussion: Depending on the hiring team, a final conversation may cover role expectations, collaboration and career interests.
๐ฐ EY AI Engineer Salary Range
EY does not list a salary in the supplied vacancy. Public salary data should therefore be treated only as an indication, not an official offer range. AmbitionBox reports โน10.2โโน17.5 LPA for EY Data Scientist roles in Gurugram for 1โ6 years of experience, while Glassdoor has reported โน10โโน11 LPA for an EY AI/ML Engineer with 1โ3 years in Gurgaon in an older submission.
For this 0โ2 year AI Engineer vacancy, candidates can use approximately โน8โ15 LPA as a market-informed expectation, with actual compensation depending on experience, technical depth, level, business unit and negotiation. This figure is not an EY-published salary range.
๐ Preparation Tips
๐น Build one complete RAG project and be ready to explain document loading, chunking strategy, embeddings, vector retrieval, prompt construction and evaluation.
๐น Revise Python deeply, especially OOP, exception handling, APIs, data structures and writing clean modular code.
๐น Prepare an LLM/AI Agent project where an agent uses tools or APIs to complete a multi-step task.
๐น Understand the difference between fine-tuning, RAG and prompt engineering, including when each approach is appropriate.
๐น Practice creating a small FastAPI service that accepts input and returns an AI-generated response.
๐น Revise SQL joins, subqueries, aggregation, indexing basics and practical MSSQL queries.
๐น Prepare behavioral answers using the Situation โ Action โ Result structure, which aligns with EY’s interview guidance.
๐ Resume Tips
Keep the resume strongly aligned with the JD. Put Python, LLMs, RAG, NLP, AI Agents, FastAPI/Flask, SQL and ML prominently in the skills section if you genuinely have these skills.
For projects, avoid writing only โbuilt an AI chatbot.โ Instead, mention the architecture and measurable resultโfor example: โBuilt a Python-based RAG application using document embeddings and vector retrieval, exposed through FastAPI.โ
Add GitHub links where available, and quantify project outcomes such as response-time improvement, retrieval accuracy, dataset size or number of documents processed.
๐ฉ How to Apply?
๐ฉamit.kumar47@in.ey.com
Interested candidates can share their updated resume directly at:
Use a clear subject such as โApplication โ AI Engineer โ Gurugramโ and make sure your resume clearly demonstrates your experience with Python, AI/ML, LLMs, RAG and AI Agents.
