Principal Full Stack Engineer

The Principal Full Stack Engineer works on both the back-end and front-end development to support AI initiatives. This role involves designing, developing, and maintaining scalable software solutions that integrate AI models and systems.

Responsibilities and Duties Lead the design, development, and maintenance of full stacksoftware solutions to support AI initiatives. Collaborate with data scientists, AI / ML engineers, and otherstakeholders to understand requirements and ensure integration with AI modelsand systems. Develop and maintain back-end services and APIs, ensuringscalability, performance, and security. Design and implement front-end interfaces that provide anintuitive and seamless user experience. Ensure the quality and performance of software solutionsthrough testing, code reviews, and continuous improvement. Stay updated with the latest advancements in full stackdevelopment technologies and best practices. Mentor and provide guidance to junior full stack engineersand other team members. Ensure compliance with data governance, security, andregulatory standards in all software development activities. Prepare and present software development reports anddocumentation to senior management and stakeholders. Participate in project planning and contribute to thedevelopment of project timelines and deliverables. Perform other duties relevant to the job as assigned by theHead of Data & AI Engineering or senior management.

Requirements

Bachelor’s degree in Computer Science, Software Engineering,or a related field Relevant certifications (e.g., Certified Full StackDeveloper, AWS Certified Developer) are preferred Minimum of 8 years of experience in full stack developmentor related fields Experience in developing software solutions for AI ortechnology-focused products Proficiency in full stack development frameworks and tools(e.g., React, Node.js, Django) Excellent problem-solving and analytical skills Strong communication and interpersonal skills Attention to detail and commitment to quality In-depth understanding of full stack development principlesand best practices Familiarity with AI model integration and deployment Knowledge of data governance, security, and regulatorystandards Ability to manage multiple tasks and prioritize effectively Strong attention to detail and commitment to deliveringhigh-quality work Ability to work independently and as part of a team Full stack development frameworks and tools (e.g., React,Node.js, Django) Collaboration and communication tools (e.g., Slack,Microsoft Teams) Data management systems (e.g., SQL, NoSQL databases)

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