Job Title:  Senior Consultant | GEN AI | Bengaluru | SAP

Job requisition ID ::  101521
Date:  Mar 31, 2026
Location:  Bengaluru
Designation:  Senior Consultant
Entity:  Deloitte Touche Tohmatsu India LLP

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. 

Shape 

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. 

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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. 

Shape 

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.