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 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 enterprise-grade RESTful APIs and event-driven applications using distributed systems with high availability resiliency fault tolerance and AI-powered backend services using Large Language Models (LLMs).Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge AI Agents tool/function calling prompt engineering structured outputs and workflow vector databases and semantic search capabilities into enterprise secure APIs for AI services while ensuring governance compliance and data with Product Managers Architects and Data Science teams to deliver AI-driven business engineers and participate in architecture discussions code reviews and technical design CI/CD pipelines and support production deployments.
Required Experience:
Senior IC
Senior Java Backend Developer GenAIJob 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 st...
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 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 enterprise-grade RESTful APIs and event-driven applications using distributed systems with high availability resiliency fault tolerance and AI-powered backend services using Large Language Models (LLMs).Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge AI Agents tool/function calling prompt engineering structured outputs and workflow vector databases and semantic search capabilities into enterprise secure APIs for AI services while ensuring governance compliance and data with Product Managers Architects and Data Science teams to deliver AI-driven business engineers and participate in architecture discussions code reviews and technical design CI/CD pipelines and support production deployments.