Spring AI Developer

Role & responsibilities

• 68 years of experience in Java backend development and microservices.
• Strong hands-on experience with Java, Spring Boot, and Spring WebFlux.
• Good understanding of reactive programming, asynchronous data flows, and Project Reactor.
• Hands-on experience building and consuming REST APIs and integrating with external services.
• Strong experience with Amazon DynamoDB, including data modeling, partition/sort keys, indexes, query patterns, and performance optimization.
• Hands-on or practical experience with Generative AI and LLM integrations, preferably using Spring AI.
• Understanding of Agentic AI concepts, including AI agents, tools/functions, tool calling, and orchestration.
• Experience or familiarity with MCP (Model Context Protocol), including developing or integrating MCP servers and tools.
• Understanding of HTTP-based communication and Server-Sent Events (SSE) for AI/agent interactions and streaming responses.
• Experience integrating with AWS Bedrock or similar enterprise LLM platforms.
• Experience with Kafka and event-driven microservices architecture.
• Familiarity with Docker, Git, and CI/CD pipelines.
• Good knowledge of unit/integration testing, error handling, exception management, and API security.
• Strong debugging, analytical, and problem-solving skills.
• Good understanding of cloud-native application development, preferably on AWS.