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About the Role

Develop enterprise-ready GenAI solutions, implement AI architectures, and integrate GenAI into business applications. Focus on Separation of Concerns & DSLs, and build testing, monitoring & policies for AI components.

Responsibilities

• Develop agent systems and GenAI functionalities that run robustly, scalably, and audibly in enterprise landscapes.
• Implement architecture patterns such as AI microservices, AI gateways, and control layers according to principles for enterprise-ready AI applications.
• Integrate GenAI into existing enterprise applications for assistants, automations, agent orchestration, or intelligent workflows.
• Work with meta-models, domain languages, and structured interfaces, avoiding arbitrary 'prompt zoo' in code.
• Build tests, telemetry, and guardrails for AI components to ensure behavior is traceable, monitorable, and controllable.

Requirements

• Several years of experience in developing business-critical applications, ideally in microservice or event-driven architectures.
• Very good knowledge of Java/Spring Boot/Quarkus and/or TypeScript/React/Angular/Vue.
• Experience with Docker/Kubernetes and at least one major cloud platform is a plus.
• Hands-on experience with LLMs/GenAI (e.g., Retrieval-Augmented Generation, agents, tool-calling, workflow orchestration).
• Clear understanding of Separation of Concerns, deterministic control layers, and ability to clearly separate AI components from core logic.
• Mindset focused on policies, logging, observability, tests, and fallbacks.
• Ability to work closely with architects, data/ML teams, and business departments.
• Fast learner eager to turn concepts into productive GenAI solutions.
• Very good German and English language skills.

Skills

• Java
• Spring Boot
• Quarkus
• TypeScript
• React
• Angular
• Vue
• Docker
• Kubernetes
• Cloud Platforms
• LLMs
• GenAI
• Retrieval-Augmented Generation
• Agent Systems
• Tool-Calling
• Workflow Orchestration
• Microservices
• Event-Driven Architectures
• Separation of Concerns
• Meta-models
• Domain-Specific Languages (DSLs)
• Testing
• Monitoring
• Policies
• Telemetry
• Guardrails
• Observability

Experience Level

• Multiple years of experience