Specialist - Software Engineering

LTM; Kolkata District; On-site; INR 3,200,000 - 4,000,000; Full time

Job summary

LTM is seeking a hands-on Java AWS GenAI Engineer to design and develop scalable AI-driven applications on AWS. You will build enterprise-grade backend systems using microservices architecture, leveraging AWS Bedrock, LLMs, and generative AI capabilities.

The role emphasizes RAG pipelines, RESTful APIs, and secure cloud design, with collaboration across DevOps for CI/CD and automation. Prior experience with Java, Spring Boot, and AWS is essential.

Qualifications

• Hands-on Java Spring Boot microservices development.
• Experience building REST APIs and distributed systems.
• Strong OOP and clean coding practices.
• Hands-on AWS services (EC2, Lambda, API Gateway, S3, DynamoDB, RDS, SQS, SNS).
• Awareness or hands-on experience with Bedrock AI services.

Responsibilities

• Design, develop, and deploy Java-based microservices on AWS.
• Build GenAI solutions including RAG pipelines and LLM integrations.
• Ensure scalable, secure cloud architectures and CI/CD automation.
• Collaborate with DevOps for deployment and testing.
• Maintain code quality with unit tests and reviews.

Skills

Java

Spring Boot

Microservices

REST APIs

AWS

GenAI

LLMs

RAG

CI/CD

Tools

AWS

Bedrock

OpenAI

EC2

Lambda

S3

DynamoDB

API Gateway

CloudWatch

Job description

Role Description

Job Description JavaAWS GenAI Engineer Engineer

Role Overview

Handson JavaAWS GenAI Engineer to design and develop scalable AIdriven applications The role will focus on building enterprisegrade backend systems leveraging AWS services microservices architecture and Generative AI capabilities LLMs RAG Agentic workflows

Key Responsibilities

• Design develop and deploy Javabased microservices Spring Boot on AWS
• Build and integrate Generative AI solutions including
• RAG RetrievalAugmented Generation pipelines
• LLM integrations AWS Bedrock OpenAI others
• AIpowered APIs and intelligent workflows
• Implement scalable and secure cloud architectures using AWS best practices
• Collaborate with DevOps teams for CICD deployment and automation
• Ensure code quality through unit testing code reviews and best practices

Must Have

• Strong handson experience in Java Spring Boot Microservices
• Experience in building REST APIs and distributed systems
• Good understanding of OOP design patterns and clean coding practices
• Handson experience with AWS services such as EC2 Lambda API Gateway S3 DynamoDBRDS SQS SNS CloudWatch IAM
• Experience in deploying and managing scalable applications in cloud environments
• Awareness or handson experience in Amazon Bedrock AI services