Responsibilities

• Skill & Integration Development: Design and implement scalable integrations (APIs, services, MCP interfaces) that expose internal and external systems as reusable skills for AI agents.
• Execution Layer Support: Collaborate on the development and optimization of the skill execution layer, ensuring reliable, scalable, and secure execution of agent-driven actions.
• System Integration: Connect the AI platform with business systems such as GIS data sources, valuation tools, and other enterprise applications.
• API & Service Design: Build and maintain clean, well-documented APIs and services that support modular and reusable architecture.
• Reliability & Performance: Ensure integrations are robust, observable, and performant, with proper error handling and monitoring.
• Cross-Functional Collaboration: Work closely with AI and Data Engineers within a shared backlog, contributing to end-to-end delivery rather than isolated components.

Profile

• Very good experience with Databricks & good experience with Azure
• Experience integrating backend services with Databricks and Azure environments.
• Familiarity with event-driven architectures
• Good experience working in AI-driven environments
• Backend Development & APIs: Strong experience in building APIs and backend services (REST, event-driven architectures).
• System Integration: Experience integrating enterprise systems and working with external/internal APIs.
• Python (must) + optional other languages: Strong programming skills for building services and integrations.
• Distributed Systems Basics: Understanding of asynchronous processing, queues, and scalable architectures.
• DevOps & Terraform automation: For automation and deployment at scale IaaC and DevOps principles are important
• Problem-Solving Skills: Ability to debug and resolve integration and system issues efficiently.

Benefits

• Possibilities to work in a home office
• A very renowned company

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