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Posted 4 weeks agoGenerative AI Engineer
at ResMed
Sydney, AustraliaOn-site
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Responsibilities
- Engineer for Scale : Optimize AWS serverless infrastructure and analytics pipelines to keep workflows secure, scalable, and cost-effective.
Requirements
- 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.
- 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.
- 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.
- Problem-Solving Drive : You know how to design AI systems that are not just powerful but practical, measurable, and safe .
- Nice to Have 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.