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)