Staff Engineer (Java)

REQUIREMENTS: 

• 6+ years of Java development experience (Java 17+ preferred).
• Strong experience with Spring Boot 3.x, Spring Data, and Spring Security.
• Hands-on experience with the Spring AI project (ChatClient, EmbeddingClient, VectorStore).
• Strong understanding of LLM concepts: tokens, temperature, model architectures.
• Experience implementing RAG and working with vector databases.
• Experience with vector stores like Pinecone, Weaviate, pgvector, etc.
• Experience with SQL/NoSQL databases and integrating them into enterprise apps.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Experience integrating AI providers (OpenAI, Azure AI, Anthropic) into enterprise systems.
• Strong problem-solving and architectural skills for production-grade AI solutions.

RESPONSIBILITIES:

• Design and develop AI-powered features using the Spring AI framework to interact with LLMs.
• Implement AI orchestration workflows using Spring AI components (ChatClient, EmbeddingClient, VectorStore).
• Build and maintain RAG (Retrieval-Augmented Generation) solutions for secure access to proprietary data.
• Integrate backend services with AI providers such as OpenAI, Azure AI, Anthropic, etc.
• Manage and optimize vector stores (Pinecone, Weaviate, pgvector) for semantic search and document retrieval.
• Build scalable RESTful APIs using Spring Boot 3.x for AI-driven workloads.
• Collaborate with product teams to refine prompts and manage prompt templates.
• Ensure secure, production-grade implementation using Spring Security.
• Deploy AI-enabled microservices using Docker, Kubernetes, and CI/CD pipelines.
• Ensure performance, scalability, and reliability of AI-powered enterprise applications.