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AirtaskerPosted 1 month ago

Senior Software Engineer

$416,000–$416,000 year

HybridSydney, New South Wales, Australia

Full TimeSenior LevelMediumTechnology

Job Summary

Deliver features through spec-driven, agentic workflows by writing clear specs and acceptance criteria, then directing and verifying agent-led implementation to production standards. Design agent workflows that solve recurring team problems, defining boundaries, escalation points, and human-in-the-loop scenarios. Curate context including repo maps, architecture summaries, decision logs, and reusable task templates to make agents effective. Own delivery end-to-end by clarifying requirements, conducting technical research, engaging stakeholders, and clearing blockages. Lead projects of business significance while partnering with Product, Data, and Design leaders on core roadmap initiatives. Help hire and grow strong engineers through interviewing, guidance, and mentorship. Hybrid working model available.

Required Qualifications

  • 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
  • Firm grounding in computer science and engineering fundamentals, with hands-on experience designing scalable architectures
  • Deep care for the product and commercial context your team operates in
  • A passion for teaching: you continually invest in your team members' growth and bring new technologies and practices to the team
  • Hybrid working
  • Must be able to lift 50 lbs

Desired Qualifications

  • Experience designing multi-step or multi-agent systems, including orchestration and human/agent handoffs
  • Experience instrumenting and evaluating AI workflows: evals, regression checks, reasoning about cost, latency and quality tradeoffs
  • Background in product engineering
  • Experience with marketplaces or two-sided platforms

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