AI Full-Stack Engineer l

neoleap; Riyadh; On-site; SAR 120,000 - 180,000; Full time

Job summary

neoleap is seeking a developer to support the design, development, testing, and maintenance of AI-enabled applications across front-end and back-end components.

The role focuses on integrating AI/ML capabilities into business solutions while ensuring performance, reliability, and alignment with technical standards, with collaboration across AI engineers, data scientists, and stakeholders.

Qualifications

• Experience in developing AI-powered web and enterprise applications.
• Experience with front-end and back-end development.
• Ability to develop, test, and maintain APIs and backend services.
• Collaborate with AI engineers and data scientists.
• Write clean, well-documented code and follow standards.

Responsibilities

• Assist in developing and maintaining AI-powered web and enterprise applications across front-end and back-end components.
• Support the integration of machine learning models and AI services into business applications.
• Develop, test, and maintain APIs and backend services to support AI-driven solutions.
• Participate in designing user interfaces that provide an intuitive and efficient user experience.
• Troubleshoot application issues and resolve bugs under the guidance of senior team members.
• Support the deployment, monitoring, and maintenance of AI applications across development and production environments.
• Assist in integrating applications with internal and external systems through APIs and web services.
• Write clean, well-documented, and maintainable code following development standards and best practices.
• Participate in code reviews and implement feedback to improve code quality.
• Support testing activities, including unit, integration, and functional testing.
• Collaborate with AI engineers, data scientists, solution architects, and business stakeholders to deliver technical solutions.
• Maintain technical documentation, including system designs, development procedures, and user guides.
• Monitor application performance and support optimization activities to improve efficiency and scalability.
• Stay up to date with emerging technologies, AI frameworks, programming languages, and development best practices.
• Ensure compliance with organizational security, data privacy, and software development standards.

Skills

Full-stack dev

API design

AI integration

Code reviews

Tools

APIs

Web services

Job description

To support the design, development, testing, and maintenance of AI-enabled applications by contributing to both front-end and back-end development activities. The role assists in integrating artificial intelligence and machine learning capabilities into business solutions while ensuring application performance, reliability, and alignment with technical standards.

Responsibilities:

• Assist in developing and maintaining AI-powered web and enterprise applications across front-end and back-end components.
• Support the integration of machine learning models and AI services into business applications.
• Develop, test, and maintain APIs and backend services to support AI-driven solutions.
• Participate in designing user interfaces that provide an intuitive and efficient user experience.
• Troubleshoot application issues and resolve bugs under the guidance of senior team members.
• Support the deployment, monitoring, and maintenance of AI applications across development and production environments.
• Assist in integrating applications with internal and external systems through APIs and web services.
• Write clean, well-documented, and maintainable code following development standards and best practices.
• Participate in code reviews and implement feedback to improve code quality.
• Support testing activities, including unit, integration, and functional testing.
• Collaborate with AI engineers, data scientists, solution architects, and business stakeholders to deliver technical solutions.
• Maintain technical documentation, including system designs, development procedures, and user guides.
• Monitor application performance and support optimization activities to improve efficiency and scalability.
• Stay up to date with emerging technologies, AI frameworks, programming languages, and development best practices.
• Ensure compliance with organizational security, data privacy, and software development standards.