Skip to content
LinktreeLinktree

Head of AI Engineering

Leads the production AI platform and internal AI adoption strategy, overseeing pipelines, evaluations, monitoring, reliability, cost controls, governance, and enablement. Requires substantial hands-on experience operating ML/AI systems and strong judgment across technical and executive stakeholders.

About the job

Responsibilities

  • Own Linktree’s AI platform, including pipelines, model and prompt versioning, evaluation harnesses, monitoring, and rollback.
  • Establish standards for evaluating AI features before and after launch.
  • Own inference cost, latency, reliability, and related operational metrics.
  • Drive internal AI adoption through tooling, agent workflows, and enablement across Product, Engineering, Marketing, and Support.
  • Establish proportionate governance for data handling, vendor risk, and pre-launch evaluation.
  • Partner with Data, Engineering, and Product leadership to sequence AI investments against the roadmap and financial model.
  • Make pragmatic build-versus-buy decisions.
  • Mentor engineers and analysts working on AI products and improve operational standards.

Requirements

  • 5–7 years of experience in ML/AI engineering, data platforms, or AI operations, including hands-on ownership of production systems.
  • Experience operating AI or ML systems in production, including pipelines, model and prompt versioning, evaluation, monitoring, and incident response.
  • Fluency with modern LLM tooling and practical considerations such as cost, latency, context limits, and nondeterministic outputs.
  • Demonstrated success driving internal AI adoption through enablement and tooling.
  • Strong build-versus-buy judgment and comfort making pragmatic decisions with incomplete information.
  • Ability to establish appropriate guardrails for data handling, vendor risk, and pre-launch evaluation.
  • Excellent communication skills with both technical and executive audiences.
  • Ability to work from the Melbourne or Sydney offices on a hybrid basis, or remotely within Australia.

Compensation and Benefits

  • Competitive compensation package including cash, equity, and benefits.
  • Annual wellbeing allowance.
  • Medical, dental, vision, disability, and life insurance coverage for eligible US-based employees.
  • Employer retirement contribution.
  • Generous vacation, holiday, parental, volunteer, and other leave.
  • Employee stock option program.

Skills

Ai Operations, Ml Pipelines, Model Versioning, Prompt Versioning, Llm Tooling, Evaluation Harnesses, Monitoring, Incident Response, Data Governance, Vendor Risk

Linktree

Linktree

Melbourne, Australia

Head of Operations Engineering
No salary listedRemote8+ YOEML Engineering

Leads the platform, evaluation, governance, economics, and internal enablement required to operate AI systems reliably in production. Requires hands-on ML/AI, data platform, or AI operations experience, strong LLM fluency, and the judgment to guide investment and build-versus-buy decisions.

Shield AI

Shield AI

Melbourne, Australia

Staff Deep Learning Engineer
No salary listedOn-site7+ YOEML Engineering

Develop and deploy deep-learning perception solutions for autonomous and non-autonomous platforms, taking computer vision research into real-time edge production. Requires deep learning and computer vision experience, modern model architectures, and relevant tertiary qualifications.

Shield AI

Shield AI

Melbourne, Australia

Senior Staff Deep Learning Engineer
No salary listedOn-site7+ YOEML Engineering

Develop and deploy advanced deep-learning computer vision and perception solutions for edge devices, while contributing to research, scalable MLOps tooling, and production optimization. Requires 3–5 years of industry experience, relevant tertiary qualifications, and expertise in modern vision architectures.

Payabli

Payabli

Remote

Staff Machine Learning Engineer
No salary listedRemote8+ YOEML Engineering

Sets the technical direction for production machine learning across a payments platform, building and scaling models for risk, authorization, disputes, and forecasting. Requires 8+ years of ML engineering experience, including production model ownership and strong technical leadership.

Protege

Protege

Remote

AI Engineer - New Verticals
No salary listedRemote3+ YOEML Engineering

Build the technical foundation for a new business vertical, creating reusable infrastructure and leading early customer engagements from scoping through delivery. The role requires 3+ years of engineering experience, strong Python and SQL skills, backend/data expertise, and comfort operating in ambiguity.