Senior Java Backend Engineer

You should have at least 5 to 10 years of overall work experience, including a minimum of 1 year in Generative AI. As a Backend Developer focusing on Generative AI applications, your responsibilities will include: - Developing and maintaining scalable backend services using Java and Spring Boot - Designing and implementing APIs for LLM integration and AI agent orchestration - Building microservices architecture to support RAG systems and LLM-powered applications - Implementing caching strategies and optimization for vector database operations - Integrating with multiple LLM providers and managing API rate limiting and failover mechanisms - Developing real-time streaming capabilities for conversational AI applications - Ensuring system observability and implementing comprehensive logging and monitoring Required Skills: - Backend Development with 3+ years of experience in Java and Spring Boot framework - Strong understanding of RESTful API design and microservices architecture - Experience with Spring Security, Spring Data JPA, and Spring Cloud - Proficiency in database technologies like PostgreSQL, MongoDB, and Redis - Knowledge of message queuing systems such as RabbitMQ and Apache Kafka - Experience with caching mechanisms and performance optimization Generative AI Integration skills should include: - Experience integrating LLM APIs into backend systems (OpenAI, Gemini, Anthropic) - Knowledge of vector database integration and semantic search implementations - Experience with AI agent frameworks and orchestration (LangGraph, etc.) - Understanding of RAG architecture and implementation patterns - Experience with streaming responses and WebSocket connections for real-time AI interactions - Knowledge of prompt management and template systems Good To Have: - Experience with fine-tuning workflows and model deployment pipelines - Knowledge of self-hosted LLM integration and management - Experience with observability tools like LangSmith and custom monitoring solutions - Understanding of natural language to SQL query systems Additional Requirements: - Experience with containerization (Docker) and orchestration (Kubernetes) - Knowledge of CI/CD pipelines and DevOps practices - Cloud platform experience with certifications preferred (AWS, GCP, Azure) - Understanding of authentication and authorization patterns - Experience with testing frameworks like JUnit, Mockito, and TestContainers - Knowledge of system design and scalability patterns - Familiarity with Elasticsearch or similar search technologies We offer: - Opportunity to work on bleeding-edge projects - Collaboration with a highly motivated and dedicated team - Competitive salary - Flexible schedule - Benefits package including medical insurance and sports facilities - Corporate social events - Professional development opportunities About Us: Grid Dynamics is a leading provider of technology consulting, AI, and advanced analytics services. With our technical vision and business acumen, we help enterprise companies solve technical challenges and achieve positive business outcomes. Our expertise in enterprise AI, data, analytics, cloud & DevOps, and customer experience sets us apart. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.,