Generative AI Engineer

Description

• 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.

Qualifications

• 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.