AI Developer with AWS

Tata Consultancy Services; Kolkata District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Tata Consultancy Services in Kolkata seeks an experienced AI Engineer to design and deploy GenAI/ML solutions on AWS, with hands-on Bedrock and SageMaker expertise. The ideal candidate will build scalable AI apps and integrate with enterprise systems.

You will own production deployment, monitoring, and governance for cloud-based AI workloads, delivering robust enterprise-grade solutions.

Qualifications

• Hands-on GenAI on cloud required; 8-10 years in AI/ML roles.
• Strong experience deploying GenAI/ML solutions on AWS.
• Experience with Bedrock, SageMaker, LLMs, RAG, and Prompt Engineering.
• Proficiency in Python, SQL, REST APIs, FastAPI/Flask.
• Experience with containerization and CI/CD pipelines.
• Knowledge of enterprise API integrations.

Responsibilities

• Design and deploy GenAI/ML solutions on AWS.
• Build AI assistants, chatbots, copilots, and RAG-based apps.
• 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

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 on AWS

Tools

Kubernetes

MLflow

OpenSearch

Pinecone

FAISS

Vector Databases

PyTorch

TensorFlow

AWS ECS/EKS

Job description

AI Developer - AWS

Experience: 8-10 Years

Location: Kolkata

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