GEN AI ( Generative AI) F2F

Deloitte Shared Services India; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Deloitte Shared Services India in Bengaluru is seeking an AI/ML Engineer (Generative AI Specialist) to design, develop and deploy Gen AI solutions. You will work with LangChain, LangGraph, and various LLMs to build enterprise-grade AI applications for NLP tasks and RAG-driven workflows.

The role requires hands-on Python, NoSQL experience, and strong collaboration across teams. You will contribute to cutting-edge AI projects while maintaining code quality with Git and modern ML tooling.

Qualifications

• 6 months of hands-on Generative AI experience with LangChain and LangGraph.
• 2+ years of Python programming for AI/ML.
• Experience with LLMs and NLP pipelines.
• NoSQL databases such as MongoDB or Cassandra.
• Hands-on with Retrieval-Augmented Generation (RAG) and AI agents.
• Experience with open-source and enterprise-grade LLMs.
• Software development, debugging, and testing proficiency.
• Strong communication skills for conveying complex ideas.

Responsibilities

• Design, develop, and implement Gen AI solutions using LangChain and LangGraph.
• Work on LLM projects including Open Source and Enterprise LLMs like OpenAI.
• Develop, fine-tune, and deploy LLMs for NLP tasks.
• Build and integrate RAG pipelines and AI agents for production-ready solutions.
• Collaborate with cross-functional teams to deliver scalable AI-driven applications.
• Manage and version code effectively using Git.
• Leverage NoSQL databases for unstructured data handling.
• Stay updated with AI/ML advancements and propose innovative solutions.

Skills

Python programming

Generative AI

LangChain

LangGraph

RAG

AI agents

NLP pipelines

NoSQL databases

LLMs

Git

Debugging & testing

Communication

Tools

LangChain

LangGraph

OpenAI

MongoDB

Cassandra

Git

TensorFlow

PyTorch

Azure

AWS

Job description

Job Title: AI/ML Engineer (Generative AI Specialist)

Location: [Bengaluru]

Experience: Relevant 37 Years

Job Description:

We are seeking a skilled and passionate AI/ML Engineer with expertise in Generative AI (Gen AI) to join our dynamic team. The ideal candidate will have hands‑on experience working with large language models (LLMs), frameworks like LangChain and LangGraph, and advanced knowledge of RAG (Retrieval-Augmented Generation) and AI agents. The role demands strong programming skills, problem‑solving abilities, and the ability to contribute to cutting‑edge AI projects.

Key Responsibilities:

• Design, develop, and implement solutions using Generative AI technologies and frameworks such as LangChain and LangGraph,CrewAI
• Work on projects involving large language models (LLMs), including both Open Source LLMs and Enterprise LLMs like OpenAI.
• Develop, fine‑tune, and deploy LLMs for NLP tasks such as text summarization, translation, question answering, etc.
• Build and integrate RAG pipelines and AI agents for production‑ready solutions.
• Collaborate with cross‑functional teams to deliver scalable AI‑driven applications.
• Manage and version code effectively using Git.
• Leverage NoSQL databases for unstructured data handling.
• Stay updated with advancements in AI/ML technologies and propose innovative solutions.

Required Skills:

• Minimum 6 months of hands‑on experience with Generative AI, LangChain, and LangGraph.
• Minimum 2 years of experience in Python programming for AI/ML applications.
• Working with large language models and NLP pipelines.
• NoSQL databases (e.g., MongoDB, Cassandra).
• Practical knowledge of Retrieval‑Augmented Generation (RAG) and AI agents.
• Experience with both open‑source and enterprise‑grade LLMs.
• Proficiency in software development, debugging, and testing.
• Strong communication skills to convey complex ideas effectively.

Optional/Preferred Skills:

• Knowledge of Machine Learning and Deep Learning frameworks like TensorFlow, PyTorch.
• Experience with Cloud Platforms (Azure, AWS, or SAP).
• Exposure to DevOps practices and CI/CD pipelines.
• Familiarity with cloud‑based AI/ML solutions and MLOps workflows