Mobile Developer
Airtasker is Australia's leading platform connecting people who need work done with skilled people who want to do it.
Airtasker is Australia's leading platform connecting people who need work done with skilled people who want to do it. We make it easy for everyday Australians to get things done, from furniture assembly to full home renovations, while giving Taskers a flexible way to earn on their own terms.
We're a remote-friendly team based primarily in Sydney, building a platform that has facilitated millions of tasks and helped hundreds of thousands of Taskers grow their businesses.
ABOUT THE ROLE
Engineering at Airtasker is agentic: we work spec-first, directing autonomous systems that author code and curating the context that makes them effective. We're looking for a Senior Mobile Engineer who already builds this way and who knows native mobile inside out: someone who can take a fascinating architectural problem, decompose it into agent-executable work, and ship it to production standards across iOS and Android.
This isn't a role where AI experience is "a plus". Working this way is the job.
This is a 12 month contract covering a parental leave.
WHAT YOU'LL DO
Design agent workflows that solve recurring team problems, defining boundaries, escalation points and where humans stay in the loop.
Curate the context that makes agents effective: repo maps, architecture summaries, decision logs and reusable task templates.
Own delivery end-to-end: clarify
requirements
, do the technical research, engage stakeholders and clear blockages.
Ship and maintain production apps across the full release cycle: store submission, phased rollout, and crash monitoring.
Partner with Product, Data and Design to deliver core mobile roadmap initiatives.
WHAT YOU'LL BRING
Must-have
Solid grasp of mobile architecture and platform fundamentals: lifecycle, state and offline handling, performance and memory.
Fluency with AI coding tools (like Claude Code) across the full development lifecycle: exploration, implementation, refactoring, debugging, tests and docs.
A spec-first mindset: you decompose work into agent-executable units with clear constraints and acceptance criteria.
The root-cause habit: when AI output goes wrong, you stop and ask what was missing from the prompt, the context or the plan, and fix the upstream artifact, not just the symptom.
Deep care for the product and commercial context your team operates in.
Nice-to-have
Posted July 24, 2026