AI Platform Integration Engineer

Position: AI Platform Integration EngineerLocation: Austin, TX (Onsite) – need Ex-Apple candidates onlyFulltime/Permanent Job DescriptionThis role requires a hands-on engineer who can understand existing architecture, continue ongoing development work, collaborate with UI, platform, security, architecture, and application teams, and support similar backend/API/AI integration initiatives as required.Technical Skills:Strong backend development experience using Python.Hands-on experience with FastAPI or similar Python-based API frameworks.Strong understanding of REST API design, middleware services, request routing, API integration, and session management.Practical experience integrating backend services with AI platforms, LLM-based applications, agentic workflows, or AI orchestration platforms.Understanding of how AI chat workflows operate, including prompt submission, context injection, conversation history, session listing, and response handling.Experience or working knowledge of MCP servers/connectors, tool-calling patterns, or backend connectors used by AI workflows.Ability to build or integrate MCP-style backend services for application-specific data or action access.Experience deploying applications on SAP BTP Cloud Foundry.Working knowledge of Cloud Foundry concepts including spaces, routes, service bindings, environment variables, logs, and deployments.Understanding of authentication and authorization concepts including OIDC, OAuth, JWT, cookies, service credentials, and token forwarding.Experience with secure credential management, mTLS authentication, and encrypted credential handling.Ability to troubleshoot application connectivity, API failures, timeout issues, authentication issues, AI workflow failures, MCP connectivity issues, and deployment errors.Good understanding of application architecture, modular code structure, configuration management, and clean coding practices.Experience with Git-based code management, branching, pull requests, and documentation.