Lead Applied AI Engineer

Fetch! Pet Care

. Lead applied AI at Fetch by setting direction, choosing models and approaches, building systems, measuring performance and shipping them into products .

Posted 9/16/2026full-timeSydney • AustraliaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping machine learning and AI systems, with a strong focus on model quality, evaluation, and collaboration with domain experts in veterinary care. Capable of developing domain-specific AI solutions using proprietary data and ensuring clinically appropriate production AI.

Highest-signal resume keywords

Machine Learning Systems DevelopmentModel Evaluation and Quality AssuranceFine-Tuning and Post-Training TechniquesCollaboration with Domain ExpertsProduct Thinking in AI Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Applied AIMachine LearningModel SelectionData StructuringModel Fine-TuningEvaluation SystemsLongitudinal Data AnalysisMultimodal UnderstandingRetrieval-Augmented GenerationPerformance Measurement

Soft Skills

Good JudgementStrong InstinctsCollaborationProduct Orientation

Industry Keywords

Veterinary CarePet Health IntelligenceHealth RecordsClinical AppropriatenessAI Product Development

About the role

Key responsibilities & impact

Lead applied AI at Fetch by setting direction, choosing models and approaches, building systems, measuring performance and shipping them into products
Build Fetch’s pet health intelligence layer to understand longitudinal pet health information and reason over it
Own model quality end-to-end, including datasets, evaluations, model selection, prompting, retrieval, post-training, fine-tuning, guardrails and monitoring
Build evaluation systems and benchmarks to identify model failures and measure improvements
Develop domain-specific AI using proprietary pet health data and veterinary expertise
Build multimodal understanding across health records, documents, images and eventually video
Work with vets, compliance and engineering teams to ship reliable and clinically appropriate production AI
Help shape the next generation of Fetch products and product direction
Build the foundations of an AI team and establish a core AI capability
Collaborate with co-founders, engineering, product, data, vets and vet nurses

Requirements

What you’ll need

3+ years building and shipping ML or AI systems in production
Strong experience with modern LLMs and applied AI systems
Deep understanding of evals – how to construct them, measure model quality and use failures to drive improvement
Experience with post-training, fine-tuning, RAG, structured outputs, tool use or similar techniques
Strong instincts around training data – what data matters, how to structure it and how to improve its quality
Enough engineering ability to take an idea from experiment to production
Good judgement about when to use a frontier model, an open-source model, retrieval, fine-tuning or something simpler
Strong product thinking – you care what the system enables for the user, not just the benchmark score
Comfortable working directly with domain experts to turn human expertise into data, evals and model behaviour
Experience in health, veterinary care or insurance is useful but not required
A PhD isn’t required
CV and examples of AI systems, evaluations, current AI interests, GitHub, demos, papers, projects or other work when applying

Benefits

Comp & perks

Meaningful equity
Hybrid working – 3 days Sydney office, flexible WFH
Latest MacBook Pro and a top setup
Unlimited AI tooling – if it helps you build, use it
Two team retreats each year
Office dogs for cuddles and interruptions
Bean-to-cup coffee, unlimited fruit and snacks. Toblerone on tap
Inclusive parental leave
5 weeks annual leave