Product Engineer

About Teamified:

Teamified is a talent partner helping companies build exceptional remote teams across IT, software, product, and digital innovation. We collaborate with leading enterprises and fast-scaling tech businesses worldwide to help them access world class talent and accelerate growth. With operations across the globe our mission is to make building high performing global teams simple, fast, and cost-effective. Teamified has hundreds of clients with more than 200 engineers, testers, product managers, designers, and technology experts delivering impactful solutions every day.

About the client:

Our client is an innovative Australian health technology company developing an AI-powered anxiety coaching application based on an evidence-based psychological approach to managing anxiety.

The application is designed for iOS and Android using React Native, with a React-based website supporting user registration and subscriptions. Currently in the testing phase and approaching its soft launch, the platform features an AI-powered coaching assistant that uses Large Language Models (LLMs) to deliver structured, personalised coaching conversations.

The AI Coach operates within a clinically guided framework, incorporating structured coaching pathways, a toolkit of resources, conversational guidelines, and built-in safety mechanisms that can intervene when necessary.

As the platform handles sensitive mental health information, security, privacy, and responsible AI development are central to its design and ongoing operation.

About the role:

We are hiring one person to own the product's engineering end-to-end. You will be the technical owner of the AI Coach and the systems around it, reporting directly to a non-technical founder. You plan your own work, set your own technical direction within the product brief, and ship. There is no CTO above you and no agency to lean on - you are the engineering function, working at speed with AI-first tooling and agentic coding workflows.

• Own the AI Coach: prompting, conversation state and progression, retrieval (Pinecone), model selection and evaluation, and the safety/crisis layer - tested against scripted clinical scenarios
• Own the backend: Python 3.12, FastAPI, GraphQL (Strawberry), SQLAlchemy, PostgreSQL, AWS (Sydney)
• Own mobile and web delivery: React Native (iOS + Android) and React, including App Store / Google Play / Stripe subscriptions
• Own release engineering: CI/CD, environments, signing credentials, monitoring, backups, rollback - built for fast, safe, frequent releases
• Bring a product eye: you care how screens look and feel on mobile and web, not just whether the API returns 200