Sr. Full Stack Engineer

The Sr. 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

• Design, develop, and maintain full stack software solutions to support AI initiatives.
• Collaborate with data scientists, AI/ML engineers, and other stakeholders to understand requirements and ensure integration with AI models and systems.
• Develop and maintain back-end services and APIs, ensuring scalability, performance, and security.
• Design and implement front-end interfaces that provide an intuitive and seamless user experience.
• Ensure the quality and performance of software solutions through testing, code reviews, and continuous improvement.
• Stay updated with the latest advancements in full stack development technologies and best practices.
• Mentor and provide guidance to junior full stack engineers and other team members.
• Ensure compliance with data governance, security, and regulatory standards in all software development activities.
• Prepare and present software development reports and documentation to senior management and stakeholders.
• Participate in project planning and contribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by the Principal Full Stack Engineer or senior management.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field
• Relevant certifications (e.g., Certified Full Stack Developer, AWS Certified Developer) are preferred
• Minimum of 5 years of experience in full stack development or related fields
• Experience in developing software solutions for AI or technology-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 principles and best practices
• Familiarity with AI model integration and deployment
• Knowledge of data governance, security, and regulatory standards
• Ability to manage multiple tasks and prioritize effectively
• Strong attention to detail and commitment to delivering high-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)