Gen AI Developer

Tata Consultancy Services; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Tata Consultancy Services in Hyderabad, India, is hiring a Gen AI Developer to design and build AI-powered applications using LLMs and AWS services. The role focuses on integrating AI models, managing vector databases, and deploying scalable AI solutions.

The ideal candidate will work on implementing RAG and Agentic AI workflows, data preparation, and optimization of performance, cost, and scalability across the AI stack.

Qualifications

• Proficiency in Python for AI/ML applications.
• Experience with AWS Bedrock, SageMaker and Lambda.
• Understanding of LLMs, prompt engineering and RAG workflows.

Responsibilities

• Develop AI-powered applications using Python and AWS services.
• Build and integrate LLM-based solutions using AWS Bedrock.
• Design and implement RAG and Agentic AI workflows.
• Create and manage vector databases for semantic search and retrieval.
• Process, clean, and prepare data for AI applications.
• Deploy and monitor AI solutions using SageMaker and Lambda.
• Optimize model performance, scalability and cost.

Skills

Python

AWS Bedrock

SageMaker

Lambda

Agentic AI

LLMs

Vector databases

Job description

Key Skills: Python, AWS Bedrock, SageMaker, Lambda, Agentic AI, LLMs, Vector Databases

We are looking for a Gen AI Developer to design and develop AI-powered applications using Large Language Models (LLMs) and AWS AI services. The candidate will work on building intelligent solutions, integrating AI models, managing vector databases, and developing scalable AI applications.

Responsibilities

• Develop AI-powered applications using Python and AWS services.


• Build and integrate LLM-based solutions using AWS Bedrock.


• Design and implement RAG and Agentic AI workflows.


• Create and manage vector databases for semantic search and retrieval.


• Process, clean, and prepare data for AI applications.


• Deploy and monitor AI solutions using SageMaker and Lambda.


• Optimize model performance, scalability, and cost.


• Stay updated with the latest Gen AI advancements.

Required Skills

• Experience with AWS Bedrock, SageMaker, and Lambda.


• Knowledge of LLMs, Prompt Engineering, and RAG.


• Experience with vector databases such as Pinecone, FAISS, or OpenSearch.


• Understanding of Agentic AI frameworks and AI application development