Key Responsibilities

- Design, develop, and maintain enterprise-grade full-stack applications using Java/J2EE, Spring Boot, Angular, and Microservices.
- Drive AI-assisted software engineering by leveraging Generative AI tools to improve development productivity, quality, and compliance.
- Build secure, scalable, and maintainable applications following MVC architecture, modular design, and dependency injection principles.
- Develop and integrate REST APIs, third-party services, databases, and authentication mechanisms using OAuth2 and JWT.
- Apply advanced AI engineering concepts, including Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI quality/compliance controls.
- Collaborate with Agile teams for solution design, estimation, technical discussions, and requirement refinement.
- Perform code reviews, troubleshoot production issues, optimize application performance, and support incident resolution.
- Implement DevSecOps best practices, CI/CD pipelines, automated testing, containerization, and Kubernetes/OpenShift deployments.
- Evaluate emerging technologies and recommend creative solutions to improve engineering capabilities.
- Ensure adherence to security, regulatory compliance, AI governance,



ethical AI practices, and cyber risk management.

Required Skills

- Strong experience in Java/J2EE, Spring Boot, and Angular.
- Expertise in Microservices architecture and REST API development.
- Experience with Java EE technologies such as JDBC, JTA, JCA, JNDI, JAF, and JavaMail.
- Hands-on experience with Generative AI, Prompt Engineering, and RAG frameworks.
- Knowledge of OAuth2, JWT, secure coding practices, and API security.
- Experience with CI/CD pipelines, Git, Jenkins, Docker, Kubernetes, and OpenShift.
- Good understanding of DevSecOps practices, automation, and cloud-native application development.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and stakeholder management abilities.

Preferred Skills

- Experience in Financial Services or Banking domain.
- Exposure to AI governance, LLM security, ethical AI, and regulatory compliance.
- Experience with performance tuning, code quality tools, and engineering best practices.
- Familiarity with SAS Enterprise Miner or related AI/analytics platforms is an added advantage.

📌 Senior AI Full Stack Java Developer (Kochi)
🏢 Tekskills
📍 Kochi