IBM

Software Engineer - Desktop

Posted: just now

Job Description

IntroductionWe're looking for a Desktop Application Engineer to help build and evolve LangFlow, a powerful no-code interface for building GenAI flows. In this role, you will design and implement cross-platform desktop applications using Tauri, delivering intuitive, high-performance experiences for developers and AI practitioners.If you're a product-minded engineer who thrives at the intersection of UI/UX, performance, and elegant architecture, we want to hear from you.Your Role And ResponsibilitiesWhat you will do: Design and build cross-platform desktop applications using Tauri, Rust, Python, and TypeScript/React Develop intuitive, performant user interfaces for building, editing, and managing AI flows Collaborate closely with product designers and backend/API engineers to create seamless user experiences Optimize application performance and responsiveness across platforms (Windows, macOS, Linux) Integrate with backend APIs and local storage, ensuring robust offline and online functionality Write maintainable, testable code and participate in peer code reviews and design discussions Continuously improve application usability, accessibility, and stabilityPreferred EducationMaster's DegreeRequired Technical And Professional ExpertiseYour experience should include: Minimum of 1-3 years of relevant industry experience in Software Engineering Experience in desktop or frontend application development Proficiency with Rust, JavaScript/TypeScript, and React Strong experience developing applications with Tauri, Electron, or similar frameworks Solid understanding of UI/UX design principles and modern frontend tooling Familiarity with local storage management, IPC, and native system integration Comfort working in cross-functional teams with designers, product managers, and backend engineers Excellent problem-solving skills and an eye for detailPreferred Technical And Professional Experience Experience contributing to open-source desktop or developer tools Familiarity with GenAI, LLM APIs, and building interactive AI-driven interfaces

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