Key Responsibilities

- Design and develop scalable Java/Spring Boot microservices, REST APIs, integrations, and event-driven services.

- Leverage Generative AI, LLMs, coding agents, Kiro, Agentic X, and similar tools to accelerate development.

- Translate business and technical requirements into effective prompts, specifications, and AI-assisted development tasks.

- Review, validate, debug, refactor, optimize, and productionize AI-generated code.

- Identify functional, architectural, security, performance, and maintainability issues in AI-generated solutions.

- Develop enterprise integrations using IBM MQ and Apache Kafka.

- Implement event-driven architectures, producers, consumers, queues, topics, and messaging patterns.

- Work with databases such as Oracle and MongoDB.

- Develop unit, integration, and component tests for both AI-generated and manually developed code.

- Integrate applications with CI/CD pipelines and DevOps processes.

- Collaborate with architects, engineering teams, and business stakeholders to deliver solutions rapidly and reliably.

- Continuously evaluate emerging AI development tools and contribute reusable prompts, accelerators, and AI-assisted engineering practices.

Mandatory Skills

Core Java & Microservices

- 8+ years of software engineering experience with strong hands-on development expertise.

- Excellent proficiency in Java and Spring Boot.

- Solid experience designing and developing enterprise-grade microservices.





- Strong understanding of REST APIs, distributed systems, integration patterns, and microservices architecture.

- Strong debugging, problem-solving, coding, and software design skills.

AI / Agentic Development

- 3-5 years of relevant AI / AI-assisted engineering experience.

- Practical experience with Generative AI, LLMs, AI coding assistants, or agentic development.

- Hands-on experience using AI models and coding agents to accelerate software development.

- Experience with, or strong willingness to work with, Kiro, Agentic X, and other AI coding/agentic platforms.

- Ability to effectively provide context, requirements, and specifications to AI models.

- Strong ability to review, validate, debug, refactor, optimize, and secure AI-generated code.

- Understanding of AI-assisted SDLC across design, development, testing, documentation, and code review.

Messaging & Integration

- Strong understanding of enterprise messaging and asynchronous integration.

- Hands-on experience with IBM MQ and Apache Kafka.

- Good understanding of event-driven architecture, queues, topics, producers, consumers, and messaging reliability patterns.

DevOps

- Good understanding of CI/CD and DevOps practices.

- Experience integrating Java applications into automated build, testing, and deployment pipelines.

- Familiarity with Git, build tools, and automated deployment practices.

📌 Senior AI Engineer – Java Microservices & Agentic Development (Chennai)
🏢 Synectics Apac
📍 Chennai