Tcs Interview | GenAI Engineers | Face To Face Interview | 29 Aug

Tata Consultancy Services; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Tata Consultancy Services is seeking a GenAI Engineer in Bangalore with 5–12 years of experience to design, build, and deploy AI/GenAI products for enterprise-scale apps.

You will develop ML pipelines, NLP solutions, and agentic AI using LangChain, LangGraph, and LlamaIndex, with RAG architectures and vector databases for fast retrieval.

Qualifications

• 5–12 years in AI/ML/NLP roles with GenAI focus.
• Strong Python proficiency and ML/DL fundamentals.
• Hands-on experience with LangChain, LangGraph, and LlamaIndex.

Responsibilities

• Design, develop, and deploy enterprise AI/GenAI solutions.
• Build ML pipelines and NLP-based applications.
• Develop agentic AI using LangChain, LangGraph, LlamaIndex.
• Implement RAG architectures with FAISS or Pinecone.
• Integrate models into real-time and batch systems.
• Build scalable APIs and AI services with major models.

Skills

GenAI

Python

ML/DL

NLP

LangChain

LangGraph

LlamaIndex

SQL (Hive/PySpark)

OpenAI APIs

Vector DBs

PyTorch

TensorFlow

Transformers

Sentence Transformers

OCR (Pytesseract/EasyOCR)

GitHub/CI/CD

Cloud & Big Data

Tools

GitHub

CI/CD Pipelines

Cloud & Big Data Tech

Job description

TCS F2F Drive | GenAI Engineer

Tata Consultancy Services (TCS) is hiring talented professionals passionate about Artificial Intelligence, Generative AI, Machine Learning, and NLP.

Role Details

Role: GenAI Engineer

Location: Bangalore

Experience: 5 - 12 Years

Interview Date: 29-Aug-2026 (Saturday)

Interview Time: 9:30 AM - 1:00 PM

Mode: Face-to-Face Interview

Required Skills

• Generative AI (GenAI)
• Python Programming
• Machine Learning & Deep Learning
• Natural Language Processing (NLP)
• LangChain / LangGraph
• LlamaIndex
• SQL (Hive / PySpark DataFrames)
• OpenAI / Gemini / Anthropic APIs
• Vector Databases (FAISS, Pinecone)

Technical Expertise

• Core Python Fundamentals (OOPs, Functions, Modules, Decorators, Exception Handling, Data Structures & Algorithms)
• NumPy, Pandas, Scikit-learn, XGBoost, LightGBM
• PyTorch, TensorFlow, MLflow
• spaCy, NLTK, Transformers, Sentence Transformers
• OCR Technologies (Pytesseract, EasyOCR)
• GitHub & CI/CD Pipelines
• Cloud & Big Data Technologies (Preferred)

Key Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions for enterprise-scale applications.
• Build and optimize machine learning pipelines and NLP-based applications.
• Develop Agentic AI solutions using LangChain, LangGraph, and LlamaIndex.
• Implement RAG (Retrieval-Augmented Generation) architectures using vector databases such as FAISS and Pinecone.
• Integrate AI/ML models into real-time and batch-processing applications.
• Build scalable APIs and AI services leveraging OpenAI, Gemini, and Anthropic models.
• Collaborate with cross-functional teams to deliver innovative AI-driven solutions.
• Create and maintain comprehensive technical and model documentation.
• Follow best practices in AI/ML governance, CI/CD, and software engineering.