AI Engineering Intern

Job not on LinkedIn

🕒 May 27

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Logo of Medical Wizard

Medical Wizard

51 - 200 employees

Founded 1993

☁️ SaaS

🤝 B2B

SaaS • B2B

Medical Wizard is a healthcare practice management software provider that helps Australian private day surgeries, hospitals, and specialist clinics go paperless. It offers a subscription-based, cloud or on-premise platform with features like appointment scheduling, patient portal, multi-procedure billing, e-claims, theatre management, automated scanning, government compliance reporting, and integrations with third-party e-health solutions. The product emphasizes customisability, industry-focused support and training, and includes AI-enabled features to streamline workflows across front-desk to recovery.

📋 Description

• Assist with AI engineering and automation initiatives • Build prototypes and proof-of-concepts using AI tools and APIs • Explore and evaluate emerging AI technologies • Assist with prompt engineering and workflow automation • Support LLM integrations and experimentation • Collaborate with Engineering, Product, and QA teams • Document technical findings, ideas, and implementation approaches • Support testing and improvement of AI-driven features • Stay updated on AI trends and share learnings with the team.

🎯 Requirements

• Currently following or recently completed a degree/diploma in IT, Software Engineering, Computer Science, AI, or a related field • Strong passion for AI, automation, and emerging technologies • Strong analytical and problem-solving skills • Willingness to learn quickly and experiment independently • Positive attitude and strong work ethic • Ability to communicate clearly and work collaboratively • Good English communication skills • Coding mindset with interest in building practical solutions • Technical Exposure (Preferred but Not Mandatory)​ • Python programming • JavaScript / TypeScript • APIs and integrations • OpenAI / Claude / Gemini or similar LLM platforms • Prompt engineering • AI automation tools • Git / GitHub / version control • Cloud platforms (AWS / Azure / GCP) • Basic understanding of LLMs and AI workflows

🏖️ Benefits

• Hands-on AI engineering and automation experience • Opportunity to work on real healthcare AI initiatives • Exposure to modern AI tooling and workflows • Mentorship from experienced Engineering and Product teams • Practical experience working in a structured software company environment • Potential pathway to permanent employment based on performance • Opportunity to contribute to the future of AI-powered healthcare technology

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