Fullstack Developer
Lynn Rodens
Date: 2 weeks ago
City: Vancouver, BC
Contract type: Full time
Do you dream of using technology to help people live healthier, more active lives? Are you passionate about the power of AI to personalize wellness journeys? Do you thrive in a fast-paced environment where you can make a real difference? If so, we want to hear from you!
What You'll Do
What You'll Do
- Design, develop, and maintain high-quality mobile web applications that integrate with E-textiles, wearables, and wellness apps data.
- Collaborate with our team to create user-friendly and engaging interfaces for our wellness app, ensuring a seamless and motivating user experience.
- Build and maintain APIs to integrate with our sensors and various health data sources and third-party services.
- Implement robust data pipelines to collect, process, and analyze data from our users, ensuring data integrity and security.
- Embrace generative AI tools to accelerate development, Embrace generative AI tools to accelerate development and improve code quality.
- Apply your data science skills to develop and deploy machine learning models, AI, and agentic workflows that track progress, provide feedback, and personalize user plans.
- Contribute to architectural decisions, ensuring scalability, performance, and security of our platform.
- Contribute to our agile development process, fostering a collaborative and supportive team environment.
- Stay at the forefront of full-stack development, continuously learning and sharing knowledge with the team.
- 3+ years of experience as a Full Stack Developer, with a proven track record of building and deploying mobile web applications.
- A growth mindset and a desire to learn and contribute in a fast-paced startup environment.
- A passion for using technology to improve people's health and well-being.
- Experience with generative AI tools and techniques
- Proficiency in front-end technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js).
- Strong back-end development skills (Python, Java, or Node.js).
- Experience with databases (SQL and NoSQL), API design, and cloud platforms (AWS, Azure, GCP).
- Solid understanding of data science concepts and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Excellent communication and collaboration skills.
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