GEN AI Engineer

Tata Consultancy Services; Hyderabad; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

Tata Consultancy Services in India is seeking a Gen AI Engineer with 3 to 5 years of hands-on experience in Generative AI, AI/ML, and Python to design, develop, and deploy AI-powered applications using LLMs and cloud-based AI solutions. The role emphasizes building scalable AI systems and integrating them into products and services.

You will design AI/ML solutions, build apps with FastAPI or Flask, fine-tune models, create data pipelines, and implement MLOps for deployment and monitoring.

Qualifications

• Must have hands-on experience in Python development, ML, DL and Generative AI.
• Experience with LLMs and Generative AI technologies and cloud-based AI solutions.
• Familiarity with building AI-powered applications and APIs (REST) using FastAPI or Flask.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions.
• Build and integrate applications using LLMs such as GPT, Claude, Gemini, Llama, and Mistral.
• Develop AI-powered chatbots, virtual assistants, and automation solutions.

Skills

Python development

Machine Learning

Deep Learning

Generative AI

LLMs

Prompt Engineering

RAG

AI Agents

Cloud AI solutions

Tools

FastAPI

Flask

LangChain

LlamaIndex

Vector Databases

Job description

TCS is hiring for the role "GEN AI Engineer"

Experience : 3 to 5 years

Location : Pan India

Interview Mode : Virtual Mode

We are seeking a highly skilled Generative AI, AI/ML, and Python Developer to design, develop, and deploy intelligent AI-powered applications. The ideal candidate will have hands-on experience in Python development, Machine Learning, Deep Learning, Large Language Models (LLMs), Generative AI technologies, and cloud-based AI solutions.

Key Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions.
• Build and integrate applications using LLMs such as GPT, Claude, Gemini, Llama, and Mistral.
• Develop AI-powered chatbots, virtual assistants, and automation solutions.
• Fine-tune, evaluate, and optimize foundation models and machine learning models.
• Develop REST APIs and microservices using FastAPI or Flask.
• Create scalable data pipelines for training, inference, and model monitoring.
• Implement MLOps practices for deployment, monitoring, and maintenance.

Required Technical Skills

• Generative AI: LLMs, Prompt Engineering, RAG, LangChain, LlamaIndex, AI Agents, Vector Databases