Roles and 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 current 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

Apply here

https://mycargogate.jointhecrew.in/positions/senior-ai-lead-java-backend-engineer-673?tid=1478&o;=1

📌 Senior AI- Java Lead Backend Engineer (Bangalore Metropolitan Area)
🏢 The Scalers
📍 Bangalore Metropolitan Area