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Hitch42 PTY LTD in Brisbane is hiring an AI Solutions Engineer (Client Delivery) to design and deliver AI-powered software for trades and service businesses. The role combines engineering work with client delivery, offering autonomy to shape product direction and real customer impact.
You will work in a permanent full-time capacity (38 hours/week), hybrid in Brisbane, and collaborate with both technical and non-technical stakeholders to turn business problems into practical software solutions.
Hitch is a new startup with a tightly interlinked consulting business and product platform. Our mission is to give every business truly custom software and AI so it can build the future it wants.
We started as a consultancy and are building a platform that makes custom software simpler, cheaper and faster to deliver. Traditional SaaS often forces a business to mould itself around generic software. Hitch is working to let businesses build software around the way they actually work.
We are looking for an AI Solutions Engineer (Client Delivery) to help us deliver for more customers and grow the shared product. This role carries a high level of autonomy, creativity and room for growth. We stay aggressively close to the frontier of software and AI because it changes what we can economically build for customers.
Our current customers are primarily trades and services businesses. Experience with sales, estimating, quoting, customer follow-up, trades or small-business operations is valuable.
This is part software engineer and part forward-deployed role. You will not be handed a fixed product backlog. You will solve real problems as they arise, make judgements about what belongs in the product, and communicate proactively with both technical and completely non-technical people. You will also help customers understand and use the tools you build.
This is a permanent full-time role (38 hours per week), hybrid in Brisbane. You must be based in Brisbane or nearby and able to attend in person in Brisbane.
You do not need ten years of experience, every framework or previous professional AI experience. You do need engineering fundamentals, evidence that you can build things, and the confidence to turn that into something people use.