Job Description

This is not a traditional Java development role. We are looking for an exceptional Senior Java Backend Engineer who combines deep backend engineering expertise with hands-on experience using modern AI coding assistants and LLM technologies. You will play a key role in defining how AI is adopted across our engineering organisation - introducing AI-assisted development practices, deploying LLM-based solutions, defining project structures for AI agents, and helping our development teams become significantly more productive, while continuing to build our cloud-native logistics platform.

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 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

Special Requirements for the Role

Passionate about Artificial Intelligence and constantly experimenting with the latest AI technologies and techniques.
Enjoys improving developer productivity and has excellent software architecture skills.
Writes clean, maintainable, and scalable code.
Strong analytical and problem-solving abilities.
Can work independently while mentoring other engineers.
Communicates effectively with both technical and non-technical stakeholders.
Takes ownership and drives innovation - comfortable investigating and prototyping unproven AI approaches for real business problems.

https://mycargogate.jointhecrew.in/positions/senior-ai-lead-java-backend-engineer-673tid=1479