Generative AI Engineer

Requirements

• UI/UX or frontend development (React, JavaScript) experience.
• Familiarity with JAMA or requirements management tools.
• Knowledge of FDA regulations, medical device testing, or integrating AI with hardware systems.
• What Success Looks Like
• Secure, scalable AI workflows live on AWS, transforming engineering, QA, and compliance.
• Significant reductions in engineering effort and error rates through AI-powered automation.
• Production-ready AI tools - from fine-tuned models to multi-agent systems - integrated seamlessly into ResMed's internal ecosystem.
• This role is your chance to shape how AI is used in life-changing healthcare technology . If you're eager to turn big ideas into real-world impact, we'd love to hear from you.
• #LI-APAC

Benefits

Additional Information

At ResMed , we're shaping the future of digital health and medical technology - and we're looking for an engineer who's ready to push boundaries with Generative AI . As a Generative AI Engineer, you won't just write code. You'll design, build, and deploy intelligent workflows on AWS that transform the way our engineers, QA specialists, and regulatory teams work . From modernizing legacy systems to automating testing and compliance, your AI solutions will directly improve how life-changing medical technology gets delivered to millions worldwide. You'll thrive if you're excited about solving complex problems, comfortable working independently, and energized by collaborating with a small, high-impact team that values creativity, speed, and real-world results. Let's talk about What You'll Do Build Next-Gen AI Workflows : Design and deploy Generative AI solutions that eliminate repetitive work, boost efficiency, and free teams to focus on what matters most. Modernize Systems : Bring cutting-edge AI into ResMed's tech stack - from fine-tuning LLMs with data flywheels to integrating with MCP servers. Spot High-Value AI Opportunities : Identify the projects where AI will deliver the most impact, balancing customer needs, cost, and scalability. Partner with Experts : Work side-by-side with engineers, QA teams, and regulatory specialists to translate business needs into technical solutions. Engineer for Scale : Optimize AWS serverless infrastructure and analytics pipelines to keep workflows secure, scalable, and cost-effective. Innovate & Iterate : Take ownership of projects end-to-end, adapt quickly based on feedback, and help teammates succeed along the way. Let's talk about What You Bring Experience : Proficiency in software engineering, with hands-on experience developing and deploying generative AI solutions. Relevant Engineering or Science degrees (Software, Computer) Technical Strength : Proficiency in .NET, AWS serverless (Lambda, API Gateway), data analytics (Glue, Athena), and AI frameworks (PyTorch, Hugging Face). AI Expertise : Familiarity with multi-agent systems, model fine-tuning, and building data flywheels. Collaboration Skills : Strong product sense, ability to engage stakeholders directly, and communication skills that make complex concepts clear. Problem-Solving Drive : You know how to design AI systems that are not just powerful but practical, measurable, and safe .

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