What are the responsibilities and job description for the Senior Java Backend Developer – GenAI position at OmegaHires?
Senior Java Backend Developer – GenAI
Job Description: Position SummaryWe are seeking a Senior Java Backend Developer with 8 years of experience building enterprise-grade backend applications and mandatory hands-on experience with Generative AI (GenAI) technologies. The ideal candidate must possess strong expertise in Java, Spring Boot, Microservices, Distributed Systems, Kafka, Cloud Technologies, and LLM-powered application development.
This role focuses on designing and delivering secure, scalable, AI-enabled backend services for Digital Banking platforms. Candidates should have practical experience building GenAI applications using LLMs, Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, AI agents, and enterprise AI governance.
Required Experience8 years of hands-on Java Backend Development experience.3 years of hands-on Generative AI development experience (Mandatory).Strong experience building enterprise applications using Java, Spring Boot, and Microservices.Experience working in Banking, Financial Services, FinTech, or highly regulated environments is highly preferred.
Key ResponsibilitiesDesign and develop scalable backend applications using Java, Spring Boot, and Microservices.Build enterprise-grade RESTful APIs and event-driven applications using Kafka.Design distributed systems with high availability, resiliency, fault tolerance, and scalability.Develop AI-powered backend services using Large Language Models (LLMs).Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval.Implement AI Agents, tool/function calling, prompt engineering, structured outputs, and workflow orchestration.Integrate vector databases and semantic search capabilities into enterprise applications.Develop secure APIs for AI services while ensuring governance, compliance, and data privacy.Collaborate with Product Managers, Architects, and Data Science teams to deliver AI-driven business capabilities.Mentor engineers and participate in architecture discussions, code reviews, and technical design sessions.Build CI/CD pipelines and support production deployments.