Role Overview :

We are looking for a Senior Java Backend Engineer with strong expertise in Java, Spring Boot, Microservices, cloud technologies, and hands-on experience integrating AI/GenAI capabilities into enterprise applications.

Key Responsibilities :

Java Backend Engineering :

- Design, develop, and maintain scalable backend services using Java and Spring Boot.

- Build secure, high-performance RESTful APIs and microservices.

- Implement complex business logic, workflows, and third-party integrations.

- Apply SOLID principles, design patterns, and clean coding practices.

- Participate in high-level and low-level design discussions.

- Ensure application performance, reliability, scalability, and availability.

AI & GenAI Integration :

- Integrate Java applications with approved AI platforms such as OpenAI, Azure OpenAI, Anthropic, and Gemini.

- Build enterprise-ready AI-powered backend services and APIs.

- Implement Retrieval-Augmented Generation (RAG) workflows.

- Work with vector databases, embeddings, semantic search, and knowledge retrieval systems.

- Develop and integrate multi-agent applications using relevant Agent SDKs and frameworks.

- Evaluate and improve AI-generated responses for accuracy, relevance, and reliability.

Prompt Engineering & AI Governance :

- Design, structure, test, and refine prompts for enterprise use cases.

- Implement prompt validation, guardrails, fallback mechanisms, and output controls.

- Monitor AI responses and optimize workflows for consistency and reliability.

- Collaborate with product and engineering teams to translate business requirements into AI-enabled solutions.

Cloud & DevOps :

- Deploy and manage backend and AI-enabled applications on AWS or GCP.

- Containerize applications using Docker.

- Work with Kubernetes for deployment, scaling, and orchestration.

- Implement application monitoring, logging, error handling, and performance optimization.

- Collaborate with DevOps teams on CI/CD and cloud deployment practices.

Database & Persistence :

- Work with relational databases such as PostgreSQL, MySQL, or Oracle.

- Use Hibernate/JPA for persistence and transaction management.

- Design optimized schemas and write efficient SQL queries.

- Support database migrations, indexing, and performance tuning.

Collaboration & Engineering Practices :

- Participate in Agile ceremonies, sprint planning, and technical discussions.

- Gather and understand system requirements from stakeholders.

- Conduct code reviews and provide technical guidance to team members.

- Develop unit and integration tests following TDD/quality engineering practices.

- Troubleshoot production issues and drive root-cause resolution.

Required Skills :

- 10 - 14 years of software engineering experience.

- Strong hands-on experience with Java and Spring Boot.

- Strong expertise in Microservices and REST APIs.

- Experience with AWS and/or GCP.

- Hands-on experience with Docker and Kubernetes.

- Experience integrating GenAI/LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or Gemini.

- Practical knowledge of RAG, vector databases, embeddings, and AI agent frameworks.

- Strong understanding of prompt engineering and AI guardrails.

- Strong SQL and database fundamentals.

- Experience with Hibernate/JPA.

- Strong understanding of system design, design patterns, and scalable architecture.

- Experience with unit testing, integration testing, and TDD.

- Strong communication and stakeholder-management skills.