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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.
Job Responsibility:
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
Requirements:
2+ years of software engineering, with hands-on experience developing and deploying generative AI solutions
Relevant Engineering or Science degrees (Software, Computer)
Proficiency in .NET, AWS serverless (Lambda, API Gateway), data analytics (Glue, Athena), and AI frameworks (PyTorch, Hugging Face)
Familiarity with multi-agent systems, model fine-tuning, and building data flywheels
Strong product sense, ability to engage stakeholders directly, and communication skills that make complex concepts clear
Ability 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