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

Founded in Australia in 2019, it has helped over 500K patients globally by combining technology, design, and operational excellence to provide the best clinical support wherever patients are.

The company has 5 clinics (Juniper, Pilot, Kin, Software, & Compound) focusing on personalising experiences for different demographics, powered by a growing team across 5 countries (Australia, UK, Germany, Japan, and the Philippines).

Eucalyptus has raised over AUD$160M in funding from Australian and Silicon Valley investors and plans to expand into more markets, offline channels, and new conditions.

Eucalyptus is looking for a Senior Software Engineer I, Full Stack (AI focus), to join their 40-person engineering team. The engineer will build scalable, production-grade AI-powered features across a multi-brand platform, from patient-facing conversational tools to intelligent decision-support systems.

Responsibilities include integrating with foundational LLM APIs (Gemini, OpenAI, etc.), designing scalable architectures for generative use cases, collaborating cross-functionally to deliver AI-enabled telehealth experiences, and acting as an AI subject matter expert.

The engineer will provide architectural guidance, ensure AI systems are production-ready, safe, and scalable, and lead the creation and ownership of shared LLM infrastructure like prompt management and safety tooling.

Short-term (first 5 months): 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.

Strong full-stack engineering experience (Typescript, Go/Node, GCP, distributed systems).

1–2 years of recent hands-on experience building LLM-powered features in production (e.g. conversational agents, personalised recommendation engines, retrieval-augmented systems, agentic multi-agent systems).

Familiarity with LangChain, LangGraph, RAG patterns, and other LLM integration frameworks.

Comfortable with an 80:20 individual contributor to tech leadership split, with potential for more leadership responsibilities.

Excellent project breakdown, estimation, and execution skills for complex initiatives with multiple workstreams.

Strong written and verbal communication skills to simplify complex AI concepts.

Experience building reusable components and AI-enabled services across applications and codebases.

Curious and resourceful, comfortable navigating ambiguity and problem solving without having all the answers.

Bonus: Experience in regulated environments, AI observability tooling, or guiding AI adoption in new teams.

The engineering team is focused on building a robust, scalable, configurable, multi-brand platform that is enjoyable to work on, with a lean 40-person team allowing for genuine input on projects.

They maintain a high performance culture valuing talent, velocity, and frequent deployments (hundreds per month).

They work with a modern tech stack including React, React Native, TypeScript, Apollo, Tailwind on the frontend, and Node (TypeScript), Go microservices, GraphQL, gRPC, Protobufs, Pub/Sub, Postgres on GCP Kubernetes Engine (GKE) on the backend.

The team tackles interesting challenges including innovative product development, improving complex legacy mono-repo business logic, and investing in internal tooling to improve developer experience.

They invest in growth and career development, providing upskilling opportunities, a Learning and Development budget, and diverse career path support.

Growth journey with significant patient growth in the UK.

Work with world-class doctors and specialists globally.

Join a diverse team from notable companies.

Work on a patient-centric platform providing end-to-end healthcare at scale.

Strong culture supporting work-life balance and flexible working hours.

Competitive remuneration and government contributions.

Fun office parties and team dinners.

Company merch designed by in-house creative team.