Leading AI Infrastructure Specialist

6 days ago

Sydney, New South Wales, Australia beBeeArtificial Full time $147,384 - $220,580
AI Infrastructure Lead

We're seeking an experienced AI infrastructure lead to join our team. In this role, you will be responsible for building and maintaining the foundation that powers every AI-driven experience at our company.

This includes our internal research platform, LLM Proxy, A/B Testing & Evaluation benchmarking, agentic workflow orchestration tools. You'll empower our ML/AI teams by building secure, cost-optimized, and developer-friendly ML platforms that scale across use cases and products.

Key Responsibilities:
  • Help build benchmarking frameworks for LLMs, including A/B, Offline Evals testing capabilities to assess quality, latency, and cost trade-offs.
  • Contribute to the design and implementation of our LLM Proxy to enable safe, observable, and cost-optimized access to multiple foundation models.
  • Partner with applied ML, product, and platform teams to ensure GenAI infrastructure meets the needs of diverse product use cases.
  • Implement best practices for monitoring, observability, rate-limiting, and cost attribution for LLM services.
  • Establish strong engineering practices around observability, reliability, security, and cost monitoring.
  • Work on orchestration tooling to enable multi-step, tool-using AI agents that integrate with our products.
Requirements:
  • 5+ years in developing and deploying ML systems in production, with hands-on experience in scaling infrastructure and ensuring service reliability.
  • Familiarity with core ML infrastructure components such as model registries, feature stores, orchestration tools, and inference serving systems.
  • Understanding of LLM systems, GenAI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools.
  • Experience with GCP, AWS, or Azure; Kubernetes; Docker; and distributed systems.
  • Proficiency in at least one server-side language (Python, Java, Scala, Golang, or Ruby) and solid grounding in testing and CI/CD workflows.
  • Understanding of architecture principles and patterns for building scalable, resilient backend services.
  • Experience taking projects from design to production deployment, with a focus on maintainability and performance.
Preferred Qualifications:
  • Agentic and Automation: Experience with AI technologies in automating processes and developing agentic solutions and frameworks.
  • Experience building tools that improve developer productivity and platform adoption across multiple teams.
What We Offer:
  • Full ownership of the projects you work on.
  • A huge impact on what you do.
  • A team of passionate people who love what they do.
  • Exciting projects and the ability to implement your own ideas and improvements.
  • Opportunities to learn and grow while maintaining a healthy work-life balance.
  • Flexible working hours.
  • Professional development funds.
  • A comfortable office and remote setup.
  • Choice of laptop and equipment.
  • Premium Medical Insurance and Private Life Assurance.

In this role, our hybrid experience gives you a rich onsite experience packed with connection, collaboration, learning, and celebration — while also giving you flexibility to work remotely for part of the week.

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