Senior AI- Java Lead Backend Engineer

The Scalers ?; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

The Scalers in Bengaluru seeks a senior Java backend engineer to drive AI adoption across the software engineering organisation. You will design and implement LLM-powered workflows, define project structures, and build prompts and agent workflows for AI tools.

You will design scalable microservices with Spring Boot and REST APIs, integrate Kafka, optimise PostgreSQL, deploy on AWS, and mentor peers while upholding CI/CD and testing excellence.

Qualifications

• 6+ years of professional experience with Java and Spring Boot.
• Extensive hands-on experience with AI-assisted software development using tools like OpenAI Codex, Claude Code, or equivalent.
• Experience with multi-agent configuration for development workflows.
• Experience integrating Model Context Protocol (MCP) extensions into development tooling.
• Experience hosting or working with private LLMs on AWS; knowledge of Amazon Bedrock highly preferred.
• Knowledge of vector databases and vector distance calculations.
• Experience building AI agents to automate repetitive, non-coding tasks.
• AI certifications are highly desirable.
• Experience with Spring Framework and REST API development.
• Experience with Apache Kafka and microservices architecture.
• Experience with PostgreSQL, database design, and performance tuning.
• Experience with Maven and JUnit.
• Working knowledge of AWS for deployment (ECS/EKS, S3, API Gateway, CloudFront).
• Experience with Docker and Terraform is desirable.
• Experience with CI/CD pipelines and Git in an Agile/Scrum environment.

Responsibilities

• Lead the adoption of AI across the software engineering organisation.
• Design and implement LLM-powered development workflows.
• Define project structures and best practices for AI-assisted software development.
• Build reusable prompts, agent workflows, and coding standards for AI tools.
• Evaluate and introduce new AI technologies that improve developer productivity.
• Train and mentor developers in the effective use of AI coding assistants.
• Establish engineering guidelines for AI-generated code quality and security.
• Prototype new LLM-based solutions, including local LLM-based solutions.
• Design and develop high-performance Java backend applications using Spring Boot.
• Design and implement scalable microservices and secure REST APIs.
• Build event-driven systems using Apache Kafka.
• Design and optimise PostgreSQL databases, including performance tuning.
• Build and deploy cloud-native applications on AWS.
• Participate in architecture discussions and technical design reviews.
• Perform code reviews and mentor other developers.
• Ensure software quality through automated testing and CI/CD best practices.

Skills

Java

Spring Boot

AI-assisted development

OpenAI Codex

Claude Code

Multi-agent configuration

MCP extensions

Private LLMs on AWS

Amazon Bedrock

Vector databases

Vector distance calculations

AI agents

Spring Framework

REST API

Apache Kafka

Microservices

PostgreSQL

Database design

Performance tuning

Maven

JUnit

AWS (ECS/EKS, S3, API Gateway, Cloud)

Docker

Terraform

CI/CD

Git

Agile/Scrum

Tools

OpenAI Codex

Claude Code

Job description

• Lead the adoption of AI across the software engineering organisation.
• Design and implement LLM-powered development workflows.
• Define project structures and best practices for AI-assisted software development.
• Build reusable prompts, agent workflows, and coding standards for AI tools.
• Evaluate and introduce new AI technologies that improve developer productivity.
• Train and mentor developers in the effective use of AI coding assistants.
• Establish engineering guidelines for AI-generated code quality and security.
• Prototype new LLM-based solutions, including solutions built on local LLMs.
• Design and develop high-performance Java backend applications using Spring Boot.
• Design and implement scalable microservices and secure REST APIs.
• Build event-driven systems using Apache Kafka.
• Design and optimise PostgreSQL databases, including performance tuning.
• Build and deploy cloud-native applications on AWS.
• Participate in architecture discussions and technical design reviews.
• Perform code reviews and mentor other developers.
• Ensure software quality through automated testing and CI/CD best practices.

Key Requirements

• 6+ years of professional experience with Java and Spring Boot.
• Extensive hands-on experience with AI-assisted software development, using tools like OpenAI Codex, Claude Code, or equivalent, with a consistent strategy for code
• generation and code review.
• Experience with multi-agent configuration for development workflows.
• Experience integrating Model Context Protocol (MCP) extensions into development tooling (e.g., syncing Figma designs with Codex).
• Experience hosting or working with private LLMs on AWS; knowledge of Amazon Bedrock highly preferred.
• Knowledge of vector databases and vector distance calculations for tasks like data interpretation and product matching.
• Experience building AI agents to automate repetitive, non-coding operational tasks (e.g., updating ETAs).
• AI certifications are highly desirable.
• Experience with Spring Framework and REST API development.
• Experience with Apache Kafka and microservices architecture.
• Experience with PostgreSQL, database design, and performance tuning.
• Experience with Maven and JUnit.
• Working knowledge of AWS for application deployment, including ECS/EKS, S3, API Gateway, and CloudFront.
• Experience with Docker and Terraform is desirable.
• Experience with CI/CD pipelines and Git in an Agile/Scrum environment.

Nice to Have

• Experience with Retrieval-Augmented Generation (RAG).
• Experience designing internal developer platforms or tooling that incorporates AI assistance.
• Experience working in logistics, transportation, customs, or e-commerce platforms