Spring AI developer

Job Description

6+ 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.