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Teamified is hiring one engineer to own the product's engineering end-to-end, serving as the technical owner of the AI Coach and surrounding systems. You will report directly to a non-technical founder and plan your own work, setting direction within the product brief.
There is no CTO or agency—you are the engineering function, shipping with AI-era workflows. Responsibilities include owning the AI Coach (prompting, state, retrieval, model selection, safety), backend (Python 3.12, FastAPI,
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.
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.
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
Translate technical decisions into plain language for the founder and clinical team
You are an AI-first engineer. You use agentic coding tools (Cursor, Claude Code or equivalent) as your default workflow - planning, generating, reviewing and shipping with AI leverage rather than writing everything by hand. You build evaluation harnesses so the AI Coach can be tested automatically against scenario suites on every change. You are a self-starter who takes a brief, breaks it into a plan, communicates the plan, executes it, and reports outcomes - with direction from the founder but without needing technical supervision.
Plan > Approve > Deliver: you propose the plan, get sign-off on direction, and own execution
Comfortable being the only engineer initially: you learn the system from the code (there is limited as-built documentation) and make it yours
Bias to shipping: small, frequent, reversible releases with monitoring and rollback in place
Judgement over heroics: this is a mental health product - safety thresholds and crisis handling are governed by legal and clinical sign-off, and you build the systems that enforce them
Our stack:
Python 3.12, FastAPI, GraphQL (Strawberry), SQLAlchemy, PostgreSQL.
React Native.
React.
AWS Sydney.
OpenAI (plus OpenAI Moderation), Pinecone vector DB.
Firebase.
App Store, Google Play, Stripe.
AppsFlyer, GA4, Meta Pixel.
Bitbucket.
SQLAdmin-based panel.
You report directly to the founder, who is not technical. You will get clear product direction, fast decisions and clinical/legal guardrails from the Founders team - and full ownership of how it gets built. You plan and manage your own process and keep the founder informed in plain language: what you're doing, why, what it costs, and when it lands.