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. Ability to work independently and as part of a team. Experience with collaboration and communication tools (e.g., Slack, Microsoft Teams). Experience with data management systems (e.g., SQL, NoSQL databases).

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