Gen AI Software Engineer - Full Stack

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Written by AI from the job title and company, not by Qualified, so some details may not match this job. The employer's own page has the real description.

Job Overview

As a Gen AI Software Engineer - Full Stack at Qualified, you will play a crucial role in designing, developing, and maintaining innovative software solutions that leverage generative artificial intelligence technologies. You will collaborate with cross-functional teams to deliver high-quality software products, providing end-to-end functionality from front-end applications to back-end services. Your expertise will be instrumental in enhancing user experience while ensuring system efficiency and scalability.

Job Responsibilities

• Design and implement robust and scalable software solutions using full-stack development practices.
• Collaborate with data scientists and other software engineers to integrate AI models into applications.
• Develop user interfaces and user experiences with a focus on usability and accessibility.
• Create and maintain back-end services, ensuring APIs are efficient and secure.
• Participate in code reviews and mentorship of junior developers to cultivate a culture of quality and continuous improvement.
• Conduct testing and debugging to ensure high-quality software delivery.
• Stay up-to-date with emerging technologies and industry trends related to generative AI.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 3+ years of experience in full-stack development, preferably in a generative AI context.
• Strong proficiency in programming languages such as Python, JavaScript, or similar.
• Experience with front-end frameworks such as React, Angular, or Vue.js.
• Proficient in back-end technologies including Node.js, Django, or Flask.
• Solid understanding of database management systems like SQL and NoSQL databases.
• Experience working with cloud platforms such as AWS, Google Cloud, or Azure.

Technologies & Tools

The Gen AI Software Engineer - Full Stack position employs a diverse set of technologies and tools. Key technologies include programming languages such as Python and JavaScript for application development, along with frameworks like React for front-end and Node.js for back-end processes. Familiarity with cloud service providers, particularly AWS or Azure, is essential for deploying and managing applications. Version control systems like Git are utilized for collaborative development, while tools for continuous integration and continuous deployment (CI/CD) practices are also key components of our development workflow.

Ideal Candidates

The ideal candidate for this position will possess a passion for technology and innovation, particularly in the field of generative AI. They will have a proven ability to work collaboratively in a dynamic team environment and demonstrate excellent problem-solving skills. Strong communication abilities will be essential for articulating technical concepts to non-technical stakeholders. A commitment to learning and staying abreast of industry trends, alongside a proactive approach to project challenges, will enhance their fit within our organization.