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Join our Center of Excellence for Generative AI (GenAI CoE) Team as a Full-Stack Engineer, where you’ll contribute to both the front-end and back-end of our GenAI initiatives. ResMed is dedicated to an “AI First” strategy, aiming to leverage our vast sleep data to improve patient care, provider experience, and operational efficiency. The mission of our GenAI CoE is to drive adoption of GenAI across the organization by delivering minimum viable products (MVPs) that showcase the potential of generative AI. In this role, you will craft user-facing interfaces that demonstrate the power of our AI/ML solutions and help build Machine Learning Engineering (MLE) backend systems using large language models (LLMs).
Job Responsibility:
Craft compelling front-end interfaces and develop high-quality backend services for our GenAI products
Work with a high-performing team of machine learning engineers (MLEs) and architects to deliver POCs and MVPs to demonstrate the functionality and potential of generative AI
Implement best coding practices across the stack, ensuring a seamless, scalable, and performant user experience
Support and define architecture decisions to ensure a high-performance and responsive application
Facilitate design and code reviews, enhancing the collaborative development process
Work with cross-functional teams to implement guardrails around LLM input/outputs
Help mentor team members in both frontend and backend development best practices
Requirements:
Masters or PhD in computer science or related technical field and 3+ years of industry experience in full-stack development, or related fields
5+ years of industry experience in front-end and/or full-stack development, or related fields
Proficiency in server-side languages such as Python and client-side languages like JavaScript
Extensive experience with cloud services (AWS preferred) and understanding of serverless architecture
Solid understanding and hands-on experience in front-end and back-end development
Experience in developing user interfaces for complex applications, including responsiveness and accessibility considerations
Knowledge of RESTful API design and microservices architecture
Experience with end-to-end testing, unit testing, and automated testing frameworks
Nice to have:
Strong grasp of DevOps principles, including CI/CD, and infrastructure as code (e.g., Terraform)
Understanding of GenAI systems and their integration into full-stack applications
What we offer:
A supportive environment that focuses on people's development and best implementation
Opportunity to design, influence, and be innovative
Work with inclusive global teams and the open sharing of new ideas
Be supported both inside and outside of the work environment
The opportunity to build something meaningful and see a direct positive impact on people’s lives
Dream big, iterate and experiment to drive innovation