Full-Stack Golang AI Developer
Budget: $50 – $0 USD
building a cross-platform desktop application that blends a Golang back-end, a modern web front-end, and AI capabilities powered by Go libraries. Most of the groundwork is outlined, but I now need an experienced developer who can move comfortably across the entire stack—server logic, UI layer, and the desktop wrapper—to bring it all together.
Back-end
• Write clean, idiomatic Go (Gin/Echo or similar) to expose REST/GraphQL endpoints.
• Integrate Go-native AI libraries (e.g., Gorgonia, Gonum, go-ml) for on-device inference and data processing.
Front-end
• Craft a responsive interface with the framework you’re most efficient in—React, Svelte, or Vue all fit.
• Connect it seamlessly to the Go APIs and ensure state management remains lightweight.
Desktop layer
• Package everything as a single cross-platform app (macOS, Windows, Linux) using Wails, Fyne, or another Go-friendly toolkit. The final build should install easily and feel native on each OS.
Project flow
I’ll share detailed feature specs, UX wireframes, and current repo access once we start. You’ll iterate in short milestones, pushing to a private Git repo so I can review progress continuously. Clear commit history, unit tests, and concise documentation are non-negotiable for a smooth hand-off later.
Acceptance criteria
• All core features compile and run on the three target OSs.
• AI routines return the expected outputs from provided test datasets.
• Front-end matches the wireframes pixel-close and stays performant.
• End-to-end build script produces installers/packages with one command.
If you’ve shipped Go-based apps that marry AI logic with a polished UI, let’s talk
Back-end
• Write clean, idiomatic Go (Gin/Echo or similar) to expose REST/GraphQL endpoints.
• Integrate Go-native AI libraries (e.g., Gorgonia, Gonum, go-ml) for on-device inference and data processing.
Front-end
• Craft a responsive interface with the framework you’re most efficient in—React, Svelte, or Vue all fit.
• Connect it seamlessly to the Go APIs and ensure state management remains lightweight.
Desktop layer
• Package everything as a single cross-platform app (macOS, Windows, Linux) using Wails, Fyne, or another Go-friendly toolkit. The final build should install easily and feel native on each OS.
Project flow
I’ll share detailed feature specs, UX wireframes, and current repo access once we start. You’ll iterate in short milestones, pushing to a private Git repo so I can review progress continuously. Clear commit history, unit tests, and concise documentation are non-negotiable for a smooth hand-off later.
Acceptance criteria
• All core features compile and run on the three target OSs.
• AI routines return the expected outputs from provided test datasets.
• Front-end matches the wireframes pixel-close and stays performant.
• End-to-end build script produces installers/packages with one command.
If you’ve shipped Go-based apps that marry AI logic with a polished UI, let’s talk