AI Developer with AWS

Tata Consultancy Services; Kolkata, Chennai; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Tata Consultancy Services is seeking an experienced AI Developer with AWS to design, build, and deploy AI-powered applications using Generative AI, LLMs, and cloud technologies. The candidate should have strong expertise in Python, prompt engineering, RAG frameworks, API development, and AI model integration.

This role requires hands-on development of GenAI solutions, OpenAI/Azure OpenAI, and REST APIs, with a focus on governance, security, and scalable architectures across enterprise systems.

Qualifications

• 8–10 years of experience in AI/ML development.
• Experience building GenAI/LLM solutions.
• Proficient in Python, API design, and AI model integration.

Responsibilities

• Develop and deploy Generative AI applications.
• Build LLM-based solutions using OpenAI/Azure OpenAI.
• Design and optimize prompts for AI models.
• Develop REST APIs using FastAPI.
• Implement RAG and LangChain-based solutions.
• Integrate AI apps with enterprise systems and databases.
• Monitor and improve model performance, accuracy, scalability.
• Follow AI governance and security best practices.

Skills

Python

GenAI

LLMs

Prompt Engineering

LangChain

RAG

FastAPI

Machine Learning

SQL

OpenAI/Azure OpenAI

Vector Databases

Git & CI/CD

Job description

Greetings from TCS!!!

TCS presents an excellent opportunity for AI Developer with AWS

Role

AI Developer with AWS

Experience range

8-10 Years

Location

Chennai, Kochi, Kolkata, Coimbatore

Job Summary

We are seeking an experienced AI Developer with AWS to design, build, and deploy AI-powered applications using Generative AI, Large Language Models (LLMs), and cloud technologies. The candidate should have strong expertise in Python, Prompt Engineering, RAG frameworks, API development, and AI model integration.

Key Responsibilities

• Develop and deploy Generative AI applications.
• Build LLM-based solutions using OpenAI/Azure OpenAI.
• Design and optimize prompts for AI models.
• Develop REST APIs using FastAPI.
• Implement RAG and LangChain-based solutions.
• Integrate AI applications with enterprise systems and databases.
• Monitor and improve model performance, accuracy, and scalability.
• Follow AI governance and security best practices.

Mandatory Skills

• Python
• Generative AI (GenAI)
• Large Language Models (GPT, Llama, Claude)
• Prompt Engineering
• LangChain
• RAG (Retrieval Augmented Generation)
• FastAPI / REST APIs
• Machine Learning
• SQL
• OpenAI / Azure OpenAI
• Vector Databases
• Git & CI/CD