Developer Innovator

1 day ago

Melbourne, Victoria, Australia beBeeSoftware Full time $120,000 - $180,000

Automate Operations

We empower small businesses to boost productivity by streamlining routine tasks, uncovering actionable insights, and connecting them with relevant data, advisors, and tools.

About the Role

As a Software Engineer, you will develop AI-driven developer tools, working primarily in Python, with occasional TypeScript and .NET touchpoints.

Key Responsibilities:

  • Prototype AI-driven workflows: Develop AI-powered developer tools (e.g., code generation, issue triage, dependency analysis), validate them, then harden successful spikes into production-ready components.
  • Build shared AI infrastructure: Create and maintain prompt libraries, CLI tooling, and CI/CD pipelines that make agentic capabilities plug-and-play for engineering teams.
  • Collaborate across disciplines: Partner with engineers, SRE, and Platform teams to gather requirements, refine designs, and champion adoption.
  • Integrate and automate: Build shared prompt libraries, CLI tooling, and CI/CD pipelines that make it trivial for engineers to adopt and extend agentic capabilities within their existing workflows.
  • Ensure reliability and observability: Instrument your components with metrics and logging to monitor performance, usage, and stability at scale.
  • Support Accelerator evolutions: Contribute to our .NET-based scaffolding framework where needed—helping maintain templates, libraries, and deploy automation.
  • Continuous exploration: Stay curious—research emerging AI/ML frameworks, run spike prototypes, share learnings, and recommend improvements.

Requirements:

  • Python expertise: 2+ years building production-grade Python services or AI integrations.
  • .NET familiarity: Comfortable reading and contributing to C#/.NET Core libraries and CLI tools.
  • Agentic algorithms experience: Hands-on implementation of multi-agent or search/optimization algorithms, with an ability to balance research requirements and practical constraints.
  • Cloud and DevOps proficiency: Experience with Azure or AWS, Docker/Kubernetes, CI/CD pipelines, and infrastructure-as-code to automate build, test, and deploy processes.
  • Curious and collaborative spirit: Eager to learn unfamiliar systems, dive into legacy code, debug cross-language integrations, and partner closely with other engineering teams.
  • User-centric mindset: Ability to translate feedback from end users and stakeholders into robust, maintainable solutions that drive real time-savings.
  • Collaborative communicator: Share insights openly, coach peers on new tools, and thrive in cross-functional teams.

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