MyCargoGate Group
Senior AI - Lead Java Backend Engineer
- Compensation
- Not disclosed
- Location
- Bangalore
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Backend
- Posted
Skills
Must have
- 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.
Full description
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.