Mid-level Java Engineer (AI Agents, MCP)

Exerizon is a fast-growing strategy and technology consulting firm founded by former senior leaders from global consulting and cloud organizations. We help leading companies deliver complex business and technology transformations, with a strong focus on financial services and other regulated industries.

We combine management consulting (corporate and digital strategy, operational excellence) with deep technology expertise (cloud strategy and migration, cloud security, application modernization, data & AI, Generative AI). Our projects span from board-level strategy to hands-on implementation.

• 3-5+ years of professional experience in Java development, with strong command of Java 11/17+ and deep expertise in the Spring Framework (especially Spring Boot).
• Experience with or strong understanding of reactive principles and frameworks (e.g. Spring WebFlux).
• Proven experience in designing, building, and securing scalable RESTful APIs and microservices.
• Strong proficiency with SQL (e.g., PostgreSQL) or NoSQL databases and experience with message brokers (e.g., Kafka, RabbitMQ).
• Excellent communication skills and discipline to work effectively in a remote, part-time, and independent B2B contract setting.

Nice to have:

• Direct experience with the Model Context Protocol (MCP) itself.
• Experience with Spring AI, LangChain, or other AI orchestration frameworks.
• Familiarity with the Azure cloud platform and containerization (Docker, Kubernetes).
• Prior experience in the insurance or financial services industry.

• Architect and develop a high-availability, scalable MCP Server using Java 17+ and Spring Boot.
• Utilize the Spring AI MCP integration (or the core Java SDK) to expose internal data sources (databases, filesystems) and business logic (APIs) as "tools" and "resources" for the AI agent.
• Define and implement the JSON-RPC 2.0 and Server-Sent Events (SSE)-based transport layer for the protocol (Spring WebFlux or WebMVC).
• Create robust connectors (e.g., REST, gRPC, Kafka consumers) to wrap existing internal insurance systems, making them securely accessible to the MCP server.
• Work directly with the client's AI and data science teams to define the capabilities, schemas, and API contracts the AI agent needs to perform its tasks.
• Write clean, testable, and efficient code, ensuring the platform meets the high-security and reliability standards of the financial services industry.

Polish language required.