Construct Education is hiring a
Senior Applications Developer

Summary

Join our team as we push the boundaries of online education! We're looking for a skilled developer to join our Application Development team in Cape Town, working on cloud-based systems and applications supporting our products and services. As a key member of our team, you'll develop and maintain cloud-based systems and applications, leveraging large language models (LLMs) to enhance learning experiences and integrate LLM-driven applications.

Requirements

• At least 5 years experience in NodeJS
• Experience with ReactJS or similar JavaScript framework
• AWS (or similar cloud architecture) development experience in serverless solutions
• Developing and consuming API’s
• JS serverless libraries (ServerlessJS or similar)
• Experience with large language models (LLMs) such as GPT-3/4, or similar
• Hands-on experience in developing applications driven by LLMs and integrating LLM solutions into existing systems
• Knowledge in Learning Management Systems knowledge (e.g. Moodle / Canvas)
• Typescript, HTM5, CSS3 and native JavaScript (jQuery/ JqueryUI)
• Coding patterns (MVC, MVVM etc)
• CI/CD (Jenkins or similar)

Responsibilities

• Develop and maintain cloud-based systems and applications supporting company's products and services
• Build and manage both off-the-shelf and custom solutions to meet the company’s technology vision for online learning
• Leverage large language models (LLMs) to enhance learning experiences and integrate LLM-driven applications
• Provide technical guidance and support for application development initiatives
• Collaborate with internal teams to streamline application development processes
• Support the Manager, Applications Development, in shaping the broader technology strategy

Preferred Qualifications

• LTI development experience
• AWS Certification
• Salesforce Exposure
• Data warehouse knowledge (Redshift)
• Python
• Svelte/Sveltkit frameworks
• Experience with natural language processing (NLP), computer vision, and predictive analytics
• Knowledge of training, tuning, and deploying machine learning models
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques

Benefits

• Flexible working hours
• Generous annual leave policy
• Paid maternity, parental, and study leave benefits in line with policy
• Learning and development opportunities within a global team
• Fun events organized by the Construct Social Committee