Senior Software Engineer (AI)

Location of position: Sydney, Australia

Employment Type: Full Time

Healthcare is usually slow and boring. We believe in its potential to be exciting and entertaining. But changing the healthcare experience is hard – and we’re gonna need all the help we can get…!

About Eucalyptus

Eucalyptus (or 'Euc' for short) is an Australian founded digital healthcare company that is on a mission to solve the world’s biggest healthcare challenges - think fertility, and behavioural change around chronic conditions such as weight loss, diabetes, and mental health.

Founded in Australia in 2019, we have now helped over 500K patients globally by combining technology, design and operational excellence to help patients access the best clinical support when they need it - wherever they are.

Our 5 clinics (Juniper, Pilot, Kin, Software, & Compound) focus heavily on personalising the experience for different demographics and are powered by a growing team across 5 countries (Australia, UK, Germany, Japan, and the Philippines).

We’ve raised over AUD$160M in funding from Aussie and Silicon Valley investors who were early backers of Uber, Canva and AirBnb. With plans to launch into several more markets, offline channels, and tackle new conditions.

We’re looking to continue building our team of great engineers who are passionate about healthcare, aren’t afraid to work hard, and invest in others through direct and honest feedback. This approach enables us to make the most impactful changes to improve the health of millions of patients globally.

About The Role (What You'll Be Doing)

Eucalyptus is looking for a Senior Software Engineer I, Full Stack (AI focus) to join our high-performing engineering team. You’ll be part of a highly collaborative 40-person engineering group, building higher touch, higher quality healthcare technology that our patients around the world love using — now with AI as a core part of our platform.

• Be a key engineering voice in designing and building scalable, production-grade AI-powered features across our multi-brand platform — from patient-facing conversational tools to intelligent decision-support systems.
• Integrate with foundational LLM APIs (Gemini, OpenAI, etc.) and design scalable architectures for generative use cases, including RAG and multi-agent systems.
• Work closely with cross-functional stakeholders in product, design, marketing, creative, analytics, and operations to deliver the best AI-enabled telehealth experiences for our patients.
• Act as the AI subject matter expert — run demos, lead workshops, pair program, and document best practices to accelerate AI adoption across the eng org.
• Provide architectural guidance and ensure AI systems are production-ready, safe, and scalable.
• Lead the creation and ownership of shared LLM infrastructure (prompt management, evaluation tooling, safety/observability) in collaboration with Data Engineering and ML Ops.
  
  
  

What Success Looks Like In This Role

• Short-term (first 5 months): personally design, build, and ship at least one customer-facing LLM-powered feature end-to-end.
• Long-term: enable all engineering teams to independently deliver LLM features by providing shared infrastructure, tooling, and best practices.
  
  
  

About You (Who You Are)

• Strong full-stack engineering track record (Typescript, Go/Node, GCP, distributed systems).
• At least 1–2 years of recent, hands-on experience building LLM-powered features in production (e.g. conversational agents, personalised recommendation engines, retrieval-augmented systems, or agentic collaborative multi-agent systems).
• Familiarity with LangChain, LangGraph, RAG patterns, and other common LLM integration frameworks.
• Comfortable operating in an 80:20 individual contributor to tech leadership split, with scope to grow leadership responsibilities over time.
• Exceptional ability to break down projects, estimate timelines, and execute complex initiatives with multiple workstreams.
• Excellent written and verbal communication skills, with the ability to simplify complex AI concepts for different audiences.
• Experience building reusable components and AI-enabled services across multiple applications and codebases.
• You are curious and resourceful — comfortable navigating ambiguity, exploring new approaches, and solving problems without always having all the answers.
• Bonus: experience in regulated environments, AI observability tooling, or guiding AI adoption in a team new to AI.
  
  
  

Why you should join Engineering at Euc

• We’re on a quest to build a robust, scalable, configurable, multi-brand platform (that’s also enjoyable to work on!) on which we can solve the world’s biggest healthcare challenges, and you can be a pivotal player in that journey.
• We’re a lean 40 person engineering team, so you can have genuine input on what we build and how we build it
• We have a high performance culture
• We have a high bar for talent, so you’ll get to learn from some of the best engineers in the industry
• We write as many low quality memes as we do high quality PRs
• We optimise for velocity and deploy to production hundreds of times a month. Once you merge your code, it’s in prod in minutes
• You’ll get to work with a modern tech stack that we’re always improving. If something isn’t working for us, we’ll iterate until we get it right and everyone on the team is encouraged to help refine it.
• Frontend: React, React Native + Expo, TypeScript, Apollo, Tailwind
• Backend: Node (TypeScript) and Go microservices, Federated GraphQL, gRPC, Protobufs, Pub/Sub and Postgres, hosted on GCP Kubernetes Engine (GKE)
• You’ll work on interesting engineering challenges:
• Euc has a large appetite for product development, so we have a roadmap of innovative, greenfield features to work on
• We've been running microservices smoothly in production for a few years, but there is still a lot of complex business logic in our legacy mono-repo to understand, break down, improve and port across.
• We strive for efficiency and invest heavily in internal tooling to improve developer experience
• We’ll invest in your growth, development and career
• When we introduced Go microservices we invested in upskilling the whole team in a new language
• No matter which direction you want to take your career, we’ll provide opportunities for you
• Every engineer has a yearly Learning and Development budget that they can use for courses, books, conferences, anything to help you learn.
  

At Eucalyptus, we value individuals from all backgrounds, experiences, and perspectives, and we embrace the unique qualities each person brings. When you apply, please let us know of any reasonable adjustments you may need during the interview process.