This is a hands-on building role. You'll work across the full stack — backend services, AI agent systems, frontend features, and the infrastructure that holds it all together. On any given day you might be wiring up a new LLM-powered workflow, building a REST API endpoint, debugging a real-time notification pipeline, or shipping a new feature in the dashboard.
We don't need someone who draws architecture diagrams. We need someone who writes code, ships it, and iterates fast. If you've built production AI features — not demos, not prototypes — and you use AI tools to accelerate your own development, this is your kind of role.
Please confirm that you live here and understand the requirement.
What about Amiara made you want to apply? Keep it short.
Link to a public GitHub repo you shipped or published in the last 3 months. Private repos cannot be reviewed and will not count toward your score.
How do you use AI tools in your day-to-day work? Be specific. Which tools, for what tasks, and how has it changed how you operate.
Open your laptop, show your dev environment, and talk through how you start a new feature using AI tools.
Paste the URL for a specific code commit or pull request on a public GitHub repo. Private repos cannot be reviewed and will not count toward your score. Ideally, choose one that spotlights how you approached fixing a bug or other tricky issue.
What are the main entities or tables, how do they relate to each other, and why did you design it that way? Aim for 3-5 sentences explaining your thought process.
Share a specific moment: What was the file? What was the error? What was the root cause, and how did you solve it?
PDF or Word document, up to 10MB. Use the arrow keys to skip.
Review your answers using the arrows, or submit when you're ready.
Thanks for applying. We'll review your submission and get back to you soon.