Senior AI Engineer – Java Microservices & Agentic Development

3.8

Job Type   /   Job Level

Full-time   /   Others/Any

Job Location

Chennai, Tamil Nadu, India

Salary Range

INR 3,000,000 - INR 3,200,000 (Annually)

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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.
Strong 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.

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