About Fetch /n Fetch is how modern pet parents give their pets the best care. One pink app for insurance, health and care. /n We’ve raised our Series A from Lightspeed and Airtree, we’re rated 4.9⭐️ on Google, #1 by CHOICE, and we’re growing fast. /n We think AI is going to fundamentally change how we care for pets. /n We have pet health data, an in-house team of vets and vet nurses, and we build our own product and technology. We want to turn that into an intelligence layer that understands each pet deeply – their history, health and what might matter next. /n We’re looking for an exceptional Lead Applied AI Engineer to build it. /n /n The role /n This is a senior, hands-on builder role. /n You’ll lead applied AI at Fetch – setting the direction, choosing the models and approaches, building them yourself, measuring whether they actually work, and shipping them into real products. /n Your core job is simple: make Fetch exceptionally good at understanding pet health. /n That capability will power everything from helping pet parents care for their pets, to supporting vets, interpreting health records and automating parts of insurance. /n We don’t need someone with a particular academic pedigree.

We want someone who is obsessed with what modern models can do, moves quickly, experiments constantly and knows how to turn new capabilities into reliable products. /n /n

- /n Location: Sydney, hybrid, 3 days in office /n
- /n Employment type: Full time /n
- /n Compensation: Series A salary + meaningful equity /n
- /n Working with: Co-founders, engineering, product, data, vets and vet nurses. We’re flat, fast and care about the best idea. /n /n /n What you’ll build and own /n /n
- /n Fetch’s pet health intelligence layer: models and systems that can understand messy, longitudinal pet health information and reason over it /n
- /n Model quality end-to-end: datasets, evals, model selection, prompting, retrieval, post-training, fine-tuning, guardrails and monitoring /n
- /n A serious evaluation system: explicit benchmarks for what good looks like, where models fail and whether a new model is actually better /n
- /n Domain-specific AI: turning proprietary pet health data and expert veterinary knowledge into capabilities generic models don’t have /n
- /n Multimodal understanding: health records, documents, images and, over time, richer inputs like video /n
- /n Safe production AI: working closely with our vets, compliance and engineering teams to make sure the systems we ship are reliable and clinically appropriate /n
- /n The next generation of Fetch products: you’ll be deeply involved in product direction and help decide what we should build with AI,



not simply implement someone else’s roadmap /n
- /n The beginnings of an exceptional AI team: this is a core capability for Fetch and we expect the team around it to grow /n /n You’ll use whatever approach works best. /n Sometimes that will mean a frontier closed-source model. Sometimes an open-source model. Sometimes RAG, tools or better context. Sometimes fine-tuning or post-training. /n We care about getting to the best result, measuring it properly and improving it quickly. /n /n About you /n You’re an exceptional applied AI builder who wants a lot of ownership. /n You’ve probably spent the last few years building with modern ML and LLMs and have gone much deeper than plugging an API into a product. /n This might look like: /n /n
- /n 3+ years building and shipping ML or AI systems in production /n
- /n Strong experience with modern LLMs and applied AI systems /n
- /n Deep understanding of evals – how to construct them, measure model quality and use failures to drive improvement /n
- /n Experience with post-training, fine-tuning, RAG, structured outputs, tool use or similar techniques /n
- /n Strong instincts around training data – what data matters, how to structure it and how to improve its quality /n
- /n Enough engineering ability to take an idea from experiment to production /n
- /n Good judgement about when to use a frontier model, an open-source model, retrieval, fine-tuning or something simpler /n
- /n Robust product thinking – you care what the system enables for the user, not just the benchmark score /n
- /n Comfortable working directly with domain experts to turn human expertise into data, evals and model behaviour /n /n Experience in health, veterinary care or insurance is useful. It isn’t required. /n A PhD isn’t required either. We care much more about what you’ve built, how you think and how quickly you learn. /n /n You’ll probably love this role if: /n /n
- /n You’re all in on AI and believe it can make the world meaningfully better /n
- /n A new model drops and your first instinct is to try it /n
- /n You’re optimistic about where the technology is going and curious about what becomes possible next /n
- /n You’re empirical – you test things rather than arguing about them in theory /n




- /n You move quickly and like turning experiments into real products /n
- /n You’re brave enough to try approaches that might fail /n
- /n You want a huge amount of influence over product and technical direction /n
- /n You want to build the capability yourself before building a team around it /n
- /n You like working with very smart people from different disciplines /n
- /n You love pets /n /n /n You probably won’t love this role if: /n /n
- /n You want to spend most of your time managing rather than building /n
- /n You need a research paper before you’re comfortable trying something /n
- /n You think your job ends when a model works in a notebook /n
- /n You’re attached to one model, vendor or technical approach /n
- /n You prefer long research cycles over shipping, measuring and iterating /n
- /n You need a defined roadmap handed to you /n
- /n You want everyone to stay neatly inside their lane /n /n /n What it’s like here /n The Fetch team is ambitious, smart, hard-working, thoughtful and kind. /n You’ll work directly with the founders and be involved early in product and company strategy. /n We build our own platform and products, so there are very few layers between an idea and something being used in the real world. /n You’ll have access to proprietary pet health data, vets and vet nurses who deeply understand the domain, and an engineering team that can help turn models into products. /n We use AI constantly ourselves. New tools, models and ideas are there to be tried rather than put through months of approvals. /n And you’ll be working on something that matters – eventually helping millions of pets live healthier, happier lives. /n /n Perks /n /n
- /n Competitive Series A salary + meaningful equity /n
- /n Hybrid working – 3 days Sydney office, flexible WFH /n
- /n Latest MacBook Pro and a top setup /n
- /n Unlimited AI tooling – if it helps you build, use it /n
- /n Two team retreats each year /n
- /n Office dogs for cuddles and interruptions /n
- /n Bean-to-cup coffee, unlimited fruit and snacks. Toblerone on tap /n
- /n Inclusive parental leave /n
- /n 5 weeks annual leave /n /n /n How to apply /n Apply via the link with your CV and anything that shows us how you think and build. /n We’d especially like to see: /n /n
- /n The best AI system you’ve built – what it did, what you personally built and why it was hard /n
- /n How you evaluated it – what your evals looked like, where the model failed and how you improved it /n
- /n Something new in AI that you’re excited about right now – and why /n
- /n Links to GitHub, demos, papers, projects or anything else you’re proud of /n

📌 Lead Applied AI engineer (Sydney)
🏢 Fetch Pet
📍 Sydney