Technical Engineer

Employment type: 1-year contract (Renewable)

Job Overview:

We are looking for a Technical Specialist with AI competencies to support the development and implementation of digital learning applications, including Learning Management Systems (LMS) and other learning technology platforms.

This role involves designing, integrating, and maintaining intelligent learning solutions that enhance user experience, personalize learning pathways, and improve platform capabilities through AI technologies. The ideal candidate will combine strong software engineering skills with knowledge of AI tools and technologies applied to learning environments.

Key Responsibilities:

Learning Application Development

. Develop, customize, and maintain learning applications such as Learning Management Systems (LMS) and other digital learning platforms.

. Support system implementation, configuration, and deployment of learning technologies.

. Ensure applications are scalable, secure, and aligned with system architecture standards.

AI Integration & Development

. Design and integrate AI-powered features into learning platforms, such as recommendation engines, chatbots, or adaptive learning tools.

. Work with AI frameworks and APIs to enhance learning analytics, learner engagement, and personalization.

. Explore and implement AI-driven solutions to improve content discovery, learner support, and performance tracking.

System Integration

. Integrate LMS platforms with other enterprise systems (e.g., HR systems, authentication systems, analytics platforms) using APIs and middleware.

. Ensure compatibility with e-learning standards such as SCORM, xAPI, or LTI.

Testing & Optimization

. Conduct system testing, debugging, and performance optimization for both application and AI components.

. Monitor platform performance and identify opportunities for improvement.

Collaboration

. Work closely with instructional designers, project managers, and product teams to translate learning requirements into technical solutions.

. Collaborate with data engineers and AI specialists to implement machine learning models and intelligent features.

Documentation & Support

. Maintain technical documentation for system architecture, integrations, and AI components.

. Provide technical troubleshooting and support during system implementation and deployment.

Skills & Experience Required

• Technical Skills: Experience in software development using Python, JavaScript, C#, or Java. Knowledge of HTML5, CSS, REST APIs, microservices architecture, and Learning Management Systems (LMS) or learning technology platforms. Hands-on experience with relational databases such as Microsoft SQL Server, MySQL, or PostgreSQL.
• AI & Data Competencies: Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience integrating AI APIs/services including NLP, recommendation engines, or chatbot frameworks. Understanding of learning analytics, data processing, and AI-driven personalization.
• Systems & Integration: Experience integrating enterprise systems through APIs or middleware. Understanding of cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with SCORM, xAPI, LTI, or other digital learning standards is advantageous.
• Soft Skills: Strong analytical, problem-solving, and communication skills, with the ability to translate technical concepts into practical solutions and work effectively in cross-functional teams.
• Systems Administration: Knowledge of user access management, data backup processes, and security protocols in cloud-based environments.
• Project Collaboration: Experience working with both technical and non-technical stakeholders in collaborative project environments.
• Attention to Detail: Ability to ensure configurations, customizations, and integrations meet required specifications and standards.

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
• Certifications: Relevant certifications in AI, cloud platforms, or software engineering are an advantage. (e.g., Machine Learning, AWS, Microsoft, LMS-specific certifications).
• Experience with Cloud-Based Systems: Experience with cloud platforms like AWS, Azure, or Google Cloud, particularly in the context of learning platforms
• Experience with SCORM/ xAPI: Familiarity with e-learning standards like SCORM, xAPI, and Tin Can API for tracking and reporting learning activities.
• Familiarity with Data Security: Knowledge of data security practices, especially as they apply to sensitive learning and employee data.