Senior Java AI Developer

KEY RESPONSIBILITIES Design, develop, and enhance backend services and APIs using Java and Spring Boot. Build high-throughput and resilient event-driven components using Kafka. Work with MongoDB or other NoSQL databases to design efficient data models and optimize queries. Integrate Large Language Models (LLMs) such as OpenAI, Claude, or Gemini into backend services via REST APIs and SDKs. Build and maintain AI-powered microservices including RAG (Retrieval-Augmented Generation) pipelines, semantic search, and document intelligence features. Support CI/CD pipeline integration, model deployment automation, and MLOps tooling. Contribute to documentation, technical specifications, and architectural diagrams. REQUIRED SKILLS & QUALIFICATIONS 5+ years of hands-on development experience in Java-based applications. Strong expertise in Java (8/11/17), Spring Framework, Spring Boot, and RESTful services. Experience with Kafka for messaging, streaming, or event-driven architecture. Practical knowledge of MongoDB or other NoSQL databases (e.g., Cassandra, DynamoDB, Couchbase). Solid understanding of microservices architecture and distributed systems. Hands-on experience consuming LLM APIs (OpenAI GPT-4o, Anthropic Claude, Google Gemini) in production Java applications. Familiarity with Spring AI or LangChain4j for building LLM-backed services in Java ecosystems. Experience with prompt engineering crafting, versioning, and testing prompts for accuracy, safety, and cost efficiency. Knowledge of embedding models and vector stores for semantic search and RAG pipelines. Strong debugging, analytical, and problem-solving skills. • Experience with Git, Maven/Gradle, Jenkins, Docker, or Kubernetes is a plus.