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EY - Generative AI Engineer

EY - Generative AI Engineer

Ernst and Young Services Pvt. LtdBangalore
30+ days ago
Job description

About Us :

We are looking for a client-focused Gen AI & Agentic AI Developer to join our Consulting practice. This role requires both technical expertise and consulting acumen to design, prototype, and deliver AI-powered solutions leveraging the latest in Generative AI and Agentic AI frameworks.

As part of our AI & Digital Innovation team, You will work with senior stakeholders to define Gen AI solutions and build POCs, MVPs, and full-scale implementations.

Key Responsibilities :

  • Design and implement Gen AI solutions using LLMs (e.g., OpenAI, Anthropic, Mistral) for use cases like document summarization, intelligent search, knowledge agents, and chat assistants.
  • Build Agentic AI systems using frameworks like CrewAI, LangGraph, AutoGen, enabling autonomous workflows, multi-agent collaboration, and task orchestration.
  • Develop proofs-of-concept (POCs), MVPs, and production-ready applications for clients
  • Integrate Gen AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Microsoft 365, using REST APIs and workflow tools.
  • Conduct prompt engineering, RAG pipeline design, tool chaining, and memory integration for intelligent agents.
  • Participate in client workshops, technical presentations, and solution demos.

Must Have :

  • Leetcode score and / or hacker rank score in python, SQL
  • Skills & Qualifications :

  • 4-5 years of experience in software development or AI engineering roles, with at least 2 years in Generative AI or NLP.
  • Strong proficiency in Python and popular AI / ML frameworks such as TensorFlow, PyTorch, Keras, or similar.
  • Strong programming skills in Python and experience with frameworks like LangChain, Hugging Face, LlamaIndex, or OpenAI SDKs.
  • Hands-on experience with Agentic AI tools such as CrewAI, LangGraph, AutoGen, Semantic Kernal or similar.
  • Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG) design.
  • Expertise in machine learning algorithms and deep learning techniques (e.g., BERT, GPT, LSTM, CNN, RNN).
  • Ability to preprocess and work with large datasets, including text, images, and structured data.
  • Familiarity with cloud platforms like AWS, GCP, or Azure for deploying AI models.
  • Experience with APIs, microservices, and integrating AI / ML models into production environments.
  • Strong problem-solving skills and the ability to work in an agile environment.
  • Excellent communication skills and a collaborative mindset.
  • Education :

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
  • ref : hirist.tech)

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