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AI Developer Advocate

2 weeks ago


Brisbane, Queensland, Australia beBeeSoftwareEngineer Full time $170,000 - $230,000

Our mission is to empower developers with cutting-edge AI technology.

We are at the forefront of revolutionizing developer productivity. Our Engineering team is dedicated to reducing developer toil and elevating the engineering experience.

Agentic AI/MCP

A suite of multi-agent servers, shared prompt libraries, and AI gateways that embed intelligent automation directly into developers' daily workflows.

Accelerator

A .NET-based scaffolding framework for rapid API, worker, and service bootstrapping.

You will prototype, build, and productionize AI-driven developer tools—working predominantly in Python, with occasional TypeScript and .NET touchpoints. You will collaborate with engineering teams, education partners, and other stakeholders to ensure your solutions are robust, well-documented, and seamlessly integrated into CI/CD pipelines.

Key Responsibilities:

  • Prototype Agentic AI & MCP to Impact: Rapidly spin up AI-powered developer workflows (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 & 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 & 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 (on-device inference, LLM training).
  • Cloud & DevOps Proficiency: Experience with Azure or AWS, Docker/Kubernetes, CI/CD pipelines, and infrastructure-as-code to automate build, test, and deploy processes.
  • Curious & Collaborative Spirit: You're 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: You share insights openly, coach peers on new tools, and thrive in cross-functional teams.