Generative AI Engineer

Generative AI Engineer Location: SG Galaxis 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. 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. 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 Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.