About the role
AI summarisedShape the future of digital health at ResMed by designing, building, and deploying intelligent Generative AI workflows on AWS. This role involves modernizing legacy systems, automating testing, and compliance processes to improve how life-changing medical technology is delivered globally.
MedTechOnsite
Key Responsibilities
- Design and deploy Generative AI solutions to eliminate repetitive work and boost team efficiency.
- Integrate cutting-edge AI into ResMed’s tech stack, including fine-tuning LLMs with data flywheels and integrating with MCP servers.
- Identify high-value AI opportunities that balance customer needs, cost, and scalability.
- Collaborate with engineers, QA teams, and regulatory specialists to translate business needs into technical solutions.
- Optimize AWS serverless infrastructure and analytics pipelines to ensure workflows are secure, scalable, and cost-effective.
- Take end-to-end ownership of projects, iterating quickly based on feedback to drive success.
Requirements
- 2+ years of software engineering experience developing and deploying generative AI solutions.
- Proficiency in .NET, AWS serverless (Lambda, API Gateway), and data analytics (Glue, Athena).
- Hands-on experience with AI frameworks such as PyTorch and Hugging Face.
- Familiarity with multi-agent systems, model fine-tuning, and building data flywheels.
- Strong product sense and ability to engage stakeholders directly.
- Excellent communication skills to clarify complex technical concepts.