AI Full-Stack Engineer l
Summary
Build and maintain AI-powered web and enterprise apps, integrating ML models into business solutions while coding full-stack components and ensuring reliability.
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.