About the role

AI summarised

ResMed is seeking a Generative AI Engineer to design, build, and deploy intelligent workflows on AWS that transform engineering, QA, and regulatory processes. The role involves modernizing legacy systems, automating testing and compliance, and integrating AI solutions into the company's tech stack to improve delivery of medical technology.

MedTechFull-timeGeneral

Key Responsibilities

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

Experience: 2+ years of 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.
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.