AI Fullstack Developer

Position Overview:

As a AI Full Stack Developer at Shyftlabs, you will be a key innovator on our engineering team, responsible for building and enhancing our next-generation applications. You will play a crucial role in designing, developing, and deploying sophisticated, scalable solutions that leverage the power of Artificial Intelligence on leading cloud platforms. This role requires a versatile engineer who can seamlessly work across the entire technology stack to deliver robust features that directly impact the customer experience.

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

Job Responsibilities:

• Design, develop, and maintain responsive, high-performance user interfaces using React.
• Build and maintain scalable server-side applications and APIs using Python and Java.
• Develop and integrate Artificial Intelligence coding practice guidelines for the organization.
• Train and mentor staff on the effective use of AI Coding tools.
• Deploy and manage applications on cloud infrastructure, specifically Google Cloud Platform (GCP) and Amazon Web Services (AWS).
• Collaborate with cross-functional teams, including product managers, designers, and data scientists, to define requirements and deliver high-quality software solutions.
• Write clean, modular, and well-tested code that meets business objectives and adheres to best practices.
• Ensure the security, scalability, and reliability of the entire application stack.

Basic Qualifications:

• Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent experience.
• 3+ years of professional experience in full-stack software development.
• Expertise in front-end development with React.
• Strong proficiency in back-end development with Python and/or Java.
• Hands-on experience with cloud platforms (GCP, AWS).
• Demonstrated experience in developing and implementing AI-driven features.
• Proficiency with SQL and NoSQL databases.
• Excellent problem-solving skills, with the ability to think critically and work independently.
• Strong communication and collaboration skills