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Ai Software Engineer jobs in Melbourne VIC

• The average pay for Ai Software Engineer jobs in Melbourne VIC is $135K per year.
• Entry-level positions start at $80K per year, while the most experienced workers can earn up to $198K per year.
4 companies are currently advertising Ai Software Engineer jobs in Melbourne VIC including Airwallex, Amazon, Canva and flybuys.
• Top skills include PROBLEM SOLVING, COLLABORATIVE, AI, System Architecture and BACKEND DEVELOPMENT.
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Posted 1d ago
Full time · Permanent
Similar jobs pay ~$120k - $150k

Pay information not disclosed by advertiser

Key points we found

  • Build AI-powered employee experiences that support career growth and skills uplift.
  • Develop production-ready software across Python back-end services, Node.js layers, and React-based user interfaces.
  • Apply DevSecOps, CI/CD, and automation practices to improve security and delivery quality.
+60d ago
Full time · Permanent
Similar jobs pay ~$113k - $199k

Pay information not disclosed by advertiser

Key points we found

  • Join the Canva AI team to redefine design experiences.
  • Lead backend architecture for a scalable platform supporting 150 million users.
  • Mentor engineers and drive complex projects from inception to production.
+60d ago
Full time · Permanent
Similar jobs pay ~$120k - $160k

Pay information not disclosed by advertiser

Key points we found

  • Join the Global Treasury and Payment Network team at Airwallex.
  • Develop AI-driven solutions to enhance customer support and automation.
  • Collaborate with cross-functional teams to build innovative payment products.
+60d ago
Full time · Permanent
Similar jobs pay ~$120k - $160k

Pay information not disclosed by advertiser

Key points we found

  • Join the Global Treasury and Payment Network team at Airwallex.
  • Develop AI-driven solutions to enhance customer support and automation.
  • Collaborate with cross-functional teams to build innovative payment products.
+60d ago
Full time · Permanent
Similar jobs pay ~$120k - $160k

Pay information not disclosed by advertiser

Key points we found

  • Lead the development of AI tools and applications from inception to implementation.
  • Mentor junior team members and help grow the engineering team.
  • Build and maintain infrastructure including Kubernetes clusters and ETL pipelines.