AI-Focused Full Stack Engineer Role
Method, a GlobalLogic company · Nova Scotia, Canada ·
- Category
- Fullstack
- Experience
- 2+ years
Staff-level full-stack engineer who designs and delivers end-to-end web applications, prototypes and integrates AI features into client products, and leads/mentors an engineering team. Core stack is Python, React, REST APIs and AWS, serving sectors like automotive and retail.
Transform digital landscapes as an AI-Focused Full Stack Engineer with Method. This role requires strong Python skills and a passion for AI development in a collaborative environment.
As a Staff ML Engineer, you’ll spearhead projects that integrate cutting-edge AI technology and full-stack development practices. This position calls for expertise in designing scalable web solutions and architecting AI features that enhance user experience. Your leadership will guide a talented team while ensuring timely and quality delivery to diverse sectors such as Automotive and Retail.
Key Responsibilities: • Design and deliver full-stack applications end-to-end • Prototype and integrate AI features into products • Utilize AI development tools for efficiency • Maintain high engineering standards through code reviews • Mentor team members, enhancing overall technical fluency
Requirements: • 7+ years using React and ecosystem tools • 5+ years in REST API and backend service development • Solid experience with cloud technologies, especially AWS • 2+ years implementing AI in practical settings • Experience in leading engineering teams and projects
Bring your full-stack and AI expertise to Method, contributing to meaningful digital advancements.
As a Staff ML Engineer, you’ll spearhead projects that integrate cutting-edge AI technology and full-stack development practices. This position calls for expertise in designing scalable web solutions and architecting AI features that enhance user experience. Your leadership will guide a talented team while ensuring timely and quality delivery to diverse sectors such as Automotive and Retail.
Key Responsibilities: • Design and deliver full-stack applications end-to-end • Prototype and integrate AI features into products • Utilize AI development tools for efficiency • Maintain high engineering standards through code reviews • Mentor team members, enhancing overall technical fluency
Requirements: • 7+ years using React and ecosystem tools • 5+ years in REST API and backend service development • Solid experience with cloud technologies, especially AWS • 2+ years implementing AI in practical settings • Experience in leading engineering teams and projects
Bring your full-stack and AI expertise to Method, contributing to meaningful digital advancements.