- 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.
- Either: Masters or PhD in computer science or related technical field and 3+ years of industry experience in full-stack development, or related fields.
- Or: 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.
- 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.
- 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. We want your 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.
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Senior Full-Stack Engineer - Singapore - Resmed
Description
Let's Talk About The TeamJoin 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).
Let's Talk About The Role
As a Full-Stack Engineer, you'll take charge of creating intuitive and responsive front-end services for demonstration and testing purposes, as well as help build robust backend services. Your role will include the integration of user-facing elements with server-side logic, and implementing visual elements of typical GenAI applications such as chatbots. You will collaborate closely with product managers to help bridge the gap between design and technical implementation, playing an active role in defining how our applications look and work.
Let's Talk About Responsibilities
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.
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