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 innovative solutions to improve engineering capabilities.
Ensure adherence to security, regulatory compliance, AI governance,



ethical AI practices, and cyber risk management.

Required Skills
Solid 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.
Positive understanding of DevSecOps practices, automation, and cloud-native application development.
Solid 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 Delhi (India)
🏢 Tekskills
📍 India