Melbourne, Australia Remote (Country) Employment AUD 110,000 - AUD 130,000

Budgetly is hiring an AI Engineer (Remote in AU)

Responsibilities

  • Building AI-enabled workflows and systems
  • Designing tools that support prospecting, deal progression, onboarding, and retention
  • Enablement and iteration
  • Teaching teams how to use these systems, identifying where they break, and improving them
  • Translate ambiguous business problems into clear, usable systems and tools
  • Work directly with revenue owners to understand friction and remove it
  • Build tooling and automations that improve execution quality
  • Identify where workflows fail and continuously improve them
  • Act as a teacher and multiplier, not just a builder

Requirements

  • Strong software engineering experience in production environments
  • Strong ability to design and improve processes and workflows
  • Experience working with tools like CRMs, automation platforms, or AI tools
  • Comfort working in ambiguity, as you’ll help define what “good” looks like in this space

Nice to Have

  • AWS knowledge. Our backend is a mix of modern serverless microservices (Typescript)

Additional Information

  • background checks are required as part of our offer process
  • 5 weeks annual leave and flexible working - we believe in balance
  • Monthly “Wellness Budget” to help you stay healthy, mentally & physically
  • Employee share options (ESOP) for all team members - we truly all “own it”
Required Skills
production environments production environments
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About company
Budgetly
Managing business expenses shouldn’t be a guessing game. Yet many SMEs still lack clear cash flow visibility and spend control. At Budgetly, we’re changing that. We’re building an AI-first platform that simplifies expense management and helps businesses make better financial decisions, faster. The goal is simple: help you spend smarter, save time, and grow profitably. The bet Most companies are using AI to help engineers write code faster. We’re doing something different. We’re building AI agents across the entire company, not just engineering. Sales, marketing, onboarding, and support are all being rebuilt around agentic workflows. If this works, capability scales with systems, not headcount.
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Posted 25 days ago