AI & Learning Solutions Technical Engineer - 1 year contract

Key Responsibilities Learning Application Development Build, customize, and support digital learning applications, including Learning Management Systems (LMS) and related learning platforms. Assist in the implementation, configuration, and deployment of learning technologies. Ensure systems are scalable, secure, and compliant with enterprise architecture and technology standards. AI Integration & Development Develop and integrate AI-enabled capabilities within learning platforms, such as: Intelligent recommendation engines Chatbots and virtual learning assistants Adaptive and personalized learning solutions Leverage AI frameworks, APIs, and services to enhance learner engagement, analytics, and personalization. Implement AI-driven features to improve content discovery, learner support, and performance insights. System Integration Integrate LMS and learning platforms with enterprise applications, including HR systems, authentication services, and analytics tools, using APIs and middleware technologies. Maintain compatibility with e-learning standards such as SCORM, xAPI, and LTI. Testing & Optimization Perform testing, troubleshooting, debugging, and optimization of both application and AI components. Monitor platform performance and recommend continuous improvements to system reliability and efficiency. Collaboration Partner with instructional designers, project managers, and product teams to translate learning needs into effective technical solutions. Work alongside data engineers and AI specialists to deploy machine learning models and intelligent platform features. Documentation & Support Prepare and maintain technical documentation, including system architecture, integrations, and AI-related components. Provide technical support and issue resolution during implementation, deployment, and post-launch activities. Skills & Experience Required Proficiency in software development using languages such as Python, JavaScript, C#, or Java. Strong understanding of web technologies, including HTML5, CSS, RESTful APIs, and microservices architecture . Experience working with LMS platforms or other digital learning technologies. Hands-on experience with relational databases such as Microsoft SQL Server, MySQL, or PostgreSQL. AI & Data Competencies Familiarity with AI and machine learning frameworks, including TensorFlow, PyTorch, and Scikit-learn. Experience integrating AI services and APIs, including NLP tools, chatbot technologies, and recommendation systems. Understanding of learning analytics, data processing workflows, and AI-based personalization methods. Systems & Integration Experience integrating enterprise applications through APIs and middleware solutions. Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform. Familiarity with e-learning standards including SCORM, xAPI, and LTI is an added advantage. System Administration Understanding of system administration…