AI Solutions Engineer (Client Delivery)

Sureclaw โ€” Australia ยท Posted ~1 day ago

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Description

๐Ÿš€ About SureClaw / Hitch Hitch builds and operates agentic AI systems for Australian trades and field-service businesses. We connect AI agents to the software these businesses already use, including ServiceM8, AroFlo, Xero, email and voice systems. ๐Ÿ› ๏ธ The role We are looking for an early-career builder who wants to ship useful software for real businesses. This is a client-facing delivery role: you will understand how a business operates, find repetitive work worth automating, then build and deploy the solution. What you will do Meet business owners and map their workflowsConfigure and deploy AI agents and automationsBuild TypeScript, Python or Ruby integrationsShip features across client deployments and internal toolsTest with real scenarios, fix bugs and monitor production systemsCommunicate clearly with clients and document what you build ๐ŸŽฏ Who we are looking for You might be a current student, recent graduate, self-taught developer, career changer or early-career engineer. We care about strong programming fundamentals, curiosity and evidence that you can build. You should enjoy learning quickly, working through ambiguity and speaking with non-technical people. Useful but not required: REST APIs, SQL/PostgreSQL, Cloudflare or AWS, LLMs/AI agents, workflow automation or customer-facing implementation experience. โœจ What you will get Direct daily mentorship from the foundersReal responsibility for client outcomesExposure to AI agents, integrations, infrastructure and customer operationsA Claude Max or ChatGPT Pro subscriptionFast feedback from real users ๐Ÿ“ Logistics Brisbane-based and remote-friendly, with regular meetups and occasional travel to client sites across South East Queensland. Casual employment, usually 10โ€“30 hours per week with flexibility around study. $40/hour. To apply, email hello@hitch42.com with a short introduction, your resume or LinkedIn profile, and a link to something you have built. Tell us what problem you solved, what you personally built, what went wrong, what you learned and what you would do differently now.