AI Developer With AWS - A

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

Job summary

Tata Consultancy Services Limited in Kolkata/Chennai is seeking an AI Developer - AWS with 8-10 years of experience. You will design and deploy GenAI/ML solutions on AWS, building AI assistants and RAG-based applications using Bedrock, SageMaker, and Foundation Models.

The role demands deep hands-on expertise in Python, LLMs, prompt engineering, and cloud-native development, with a track record of production deployments and ecosystem integration across enterprise platforms.

Qualifications

• Experience in designing GenAI/ML solutions on AWS.
• Hands-on with Bedrock, SageMaker, LLMs, RAG, prompt engineering.
• Proficient in Python, SQL, REST APIs, FastAPI/Flask.

Responsibilities

• Design and deploy GenAI/ML solutions on AWS.
• Build AI assistants, chatbots, copilots, and RAG-based applications.
• Develop and optimize LLM-powered solutions using Bedrock and Foundation Models.
• Build APIs and microservices for enterprise AI integrations.
• Implement model deployment, monitoring, governance, and production support.
• Integrate AI solutions with enterprise platforms and business applications.

Skills

Generative AI

LLMs

Prompt engineering

Amazon Bedrock

AWS SageMaker

Python

REST APIs

Docker

CI/CD

Kubernetes

Tools

AWS Lambda

S3

API Gateway

IAM

CloudWatch

LangChain

Hugging Face

Git

Job description

AI Developer - AWS

Experience: 8-10 Years

Location: Kolkata/Chennai

Job Description

We are looking for an experienced AI Engineer with strong expertise in building and deploying Generative AI and Machine Learning solutions on AWS. The ideal candidate should have hands‑on experience with Amazon Bedrock, AWS SageMaker, LLMs, RAG, Prompt Engineering, Python, and cloud‑native application development.

Key Responsibilities

• Design and deploy GenAI/ML solutions on AWS.
• Build AI assistants, chatbots, copilots, and RAG-based applications.
• Develop and optimize LLM-powered solutions using Bedrock and Foundation Models.
• Build APIs and microservices for enterprise AI integrations.
• Implement model deployment, monitoring, governance, and production support.
• Integrate AI solutions with enterprise platforms and business applications.

Mandatory Skills

• Generative AI, LLMs, RAG, Prompt Engineering
• Amazon Bedrock, AWS SageMaker
• AWS Lambda, S3, API Gateway, IAM, CloudWatch
• Python, SQL, REST APIs, FastAPI/Flask
• LangChain, Hugging Face
• Docker, Git, CI/CD
• Production deployment experience on AWS

Preferred Skills

• AI Agents, LlamaIndex
• OpenSearch, Pinecone, FAISS, Vector Databases
• Kubernetes, MLflow
• PyTorch, TensorFlow
• AWS ECS/EKS

Preferred Experience

• Enterprise AI Chatbots/Copilots
• Production‑grade RAG Applications
• LLM Solutions on AWS
• Foundation Model Fine‑tuning
• Vector Search & Semantic Retrieval
• Enterprise API Integrations
• Scaling AI Workloads on Cloud

Certifications (Preferred)

• AWS Certified Machine Learning Engineer
• AWS Certified Solutions Architect
• AWS Certified AI Practitioner