Senior Generative AI Engineer | LLM, RAG, NLP, Python, ML

Tata Consultancy Services; Hyderabad, Pune District, Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services in Hyderabad is looking for an experienced AI/ML engineer to design and deploy Generative AI and ML solutions. You will build LLM, RAG, NLP, and vector database based applications and develop forecasting and predictive analytics models.

You will train, evaluate, optimize, and deploy models, develop Python scripts, and collaborate with stakeholders to capture requirements and design scalable AI solutions for production environments.

Qualifications

• 6+ years of experience in AI/ML, Data Science, or related domains.

Responsibilities

• Design and deploy Generative AI and Machine Learning solutions.

Skills

Python

AI/ML

LLMs

RAG

NLP

Vector DB

Time Series

Forecasting

OpenAI

LangChain

LlamaIndex

HuggingFace

Prompt Engineering

AI Agents

Pinecone

FAISS

ChromaDB

Weaviate

Pandas

NumPy

Scikit-Learn

Matplotlib

Tools

LangChain

LlamaIndex

OpenAI/Azure OpenAI

HuggingFace

Job description

Role & responsibilities

• Design and deploy Generative AI and Machine Learning solutions.
• Build LLM, RAG, NLP, and Vector Database-based applications.
• Develop Time Series Forecasting and Predictive Analytics models.
• Perform model training, evaluation, optimization, and deployment.
• Develop Python applications and Unix shell scripts.
• Collaborate with stakeholders for requirement gathering and solution design.
• Support project estimation, risk management, and timely delivery.

Preferred candidate profile

• 6+ years of experience in AI/ML, Data Science, or related domains.
• Minimum 2+ years of hands‑on experience in Generative AI, LLMs, RAG, NLP, and Vector Databases.
• Strong proficiency in Python programming and ML ecosystem libraries such as Pandas, NumPy, Scikit-Learn, and Matplotlib.
• Experience in designing, developing, and deploying production‑grade Machine Learning and GenAI solutions.
• Expertise in Time Series Forecasting, Regression Models, Predictive Analytics, and Statistical Analysis.
• Hands‑on experience with AI frameworks such as LangChain, LlamaIndex, OpenAI/Azure OpenAI, Hugging Face, or similar technologies.
• Strong understanding of Prompt Engineering, AI Agents, Prompt Chaining, and Retrieval-Augmented Generation (RAG).
• Experience working with Vector Databases such as Pinecone, FAISS, ChromaDB, Weaviate, or equivalent.
• Ability to gather business requirements, create technical designs, and deliver scalable AI solutions.