Software Developer

• Design, develop, and maintain servers in Quarkus.
• Make business capabilities available as Tools, Resources, and Prompts.
• Integrate existing internal data platform and back-end APIs.
• Implement secure authentication and authorization mechanisms.
• Ensure auditability, observability, and governance within AI interactions.
• Collaborate with architects, analysts, product owners, and business stakeholders.
• Support the evolution from single-agent to multi-agent AI solutions.
• Contribute to reusable frameworks, SDKs, and standards.
• Optimize performance, monitoring, and troubleshooting of solutions.
• Help shape the AI platform architecture and best practices.
• Implement requirements from epics, user stories, and functional analyses.
• Work according to Agile/Scrum methodology and align closely with business and test teams.

What they ask

• Strong knowledge of Java 17+, Quarkus, REST APIs, CDI, Maven, and microservices.
• Experience with Model Context Protocol (MCP), including Tools, Resources, Prompts, and governance.
• Knowledge of AWS services such as specific AI cloud services, ECS, API Gateway, and IAM.
• Experience with API integrations, OpenAPI/Swagger, JSON, and API security.
• Understanding of AI and LLM concepts such as agentic architectures, prompt engineering, tool calling, RAG, and context management.
• Experience with specific AI Agents, embeddings, and AI model integrations.
• Strong expertise in security: OAuth2, OIDC, an identity management system, RBAC, secure API design, audit logging, and threat modeling.
• Knowledge of governance and security risks such as privilege escalation, context protection, and shadow servers.
• Experience with observability, logging, monitoring, and production support.
• Strong analytical skills and ability to translate complex business processes into technical solutions.
• Excellent communication skills and stakeholder management.
• Take ownership and end-to-end responsibility.
• Innovative mindset with an interest in AI and agent technologies.
• Pragmatic approach focused on value creation without over-engineering.
• Experience with Agile/Scrum and collaboration in multidisciplinary teams.

Wishes.

• LangChain, LangGraph, Langfuse, OpenSearch, Kubernetes/OpenShift, Docker, Terraform, GitLab CI/CD, event-driven architecture, and vector databases.