Position Overview
We are looking for an experienced AI Application Engineer to build and deploy cross-platform AI applications that run locally—on Windows, iOS, Android, and Mac—on top of the OpenInfer Runtime Stack. The ideal candidate is fluent in C++ and Rust, has delivered complex, production-grade applications, and is comfortable integrating with advanced system runtimes. Strong communication skills and a familiarity with ToolCalling features such as Model Context Protocol (MCP) are essential. Experience in web application development and security practices such as sandboxing is preferred.
Key Responsibilities
• Design, develop, and deploy local-first AI applications across Windows, Mac, iOS, and Android.
• Integrate directly with the OpenInfer Runtime Stack using C++ and Rust.
• Implement advanced ToolCalling features including protocols such as MCP.
• Build web and native interfaces that interact seamlessly with OpenInfer APIs.
• Optimize applications for real-time performance and minimal memory/power usage.
• Communicate clearly and regularly with internal teams and external stakeholders.
Required Qualifications
• Cross-Platform App Development: Proven experience building and deploying applications on Windows, Mac, iOS, Android.
• Language Proficiency: Strong in C++ and Rust; able to integrate at the runtime/system level.
• Application Experience: Has built and deployed complex AI-driven applications. Please include references or case studies.
• ToolCalling: Experience working with context-aware or tool-invoking architectures (e.g., MCP or similar frameworks).
• Web Development: Experience developing web applications with clean integration into native backends.
• Communication: Excellent written and verbal communication skills.
Preferred Qualifications
• Security Awareness: Familiarity with security features including sandboxing, permissions, and data isolation.
• JavaScript Experience: Ability to develop interactive UI and logic with JavaScript, including use with webviews or Electron.
• Mobile Native Development: Knowledge of Android NDK, Swift, and/or Kotlin.
• Performance Profiling: Comfortable profiling and tuning for constrained devices.
• Open Source Contributions: Previous contributions to relevant projects in AI, systems, or runtime infrastructure.
What You'll Gain
• Experience building and showcasing real-world AI applications across desktop, mobile, and web platforms
• Expertise in developer engagement through technical content, social media, and community events
• Growth in technical communication, public speaking, and open-source collaboration
• Opportunity to work closely with AI engineers on cutting-edge inference technologies and developer tools