Senior Full Stack Developer - Java with AI Expertise

Job Description:

Responsibilities

• Design, develop, and maintain high?quality front?end and back?end applications.
• Ensure code quality through reviews, adherence to standards, and implementation of unit and integration testing.
• Integrate AI/LLM capabilities, including prompt engineering, response tuning, NLP workflows, and RAG?based solutions.
• Collaborate with cross?functional teams to gather requirements and ensure technical feasibility.
• Troubleshoot and resolve issues across the full application stack.
• Contribute to CI/CD pipelines and cloud deployments (OCI).
• Communicate effectively with global stakeholders across the US and Europe.

Qualification & Experience 

• An experienced IT professional (8+years) with a degree in Engineering or equivalent qualifications (MCA).
• 2- 3 years of hands-on experience in AI/ML Implementation.
• Must have strong analytical and creative problem-solving skills.
• Ability to work independently or collaboratively in Agile environments.
• Excellent communication skills, both written and verbal, with the ability to effectively collaborate with technical and non-technical stakeholders from round the globe.
• Expertise in Core Java 17+, J2EE, Spring, Hibernate, JPA, Web Services.
• Strong understanding of OOPs concepts and design patterns.
• Experience with REST API development & good hands-on on building and deploying microservices.
• Experience with at least one of these Java Script frameworks (Angular 14+/ReactJS/ExtJS /Node JS).
• Strong knowledge of HTML5, CSS, XML, OOA and OOD Concepts.
• Hands?on experience integrating LLMs or AI APIs.
• Experience in Prompt Engineering and fine-tuning LLMs.
• Knowledge of NLP concepts (agents, entities, embeddings, vector search).
• Exposure to RAG pipelines, Spring AI, and vector databases.
• Familiarity with RDMS, preferably Oracle.
• Knowledge of code versioning tools (GIT).
• Experience with project management and source/version control such as: JIRA and GIT.
• Knowledge of Linux/Unix Commands.
• Working experience in CI/CD pipeline.
• Ability to understand technology integration scenarios and apply these learnings to complex troubleshooting situations.
• Comfortable working in a fast paced, Agile, release-often environment.
• Knowledge of high-quality professional software engineering practices for agile SDLC, including coding standards, code reviews, source control management, build processes, testing, and deployment.