Full-Stack AI Software Developer – AI-Powered Higher Education QA Platform

We are looking for a highly capable and motivated Full-Stack Software Developer to join us full-time and lead the technical development of an innovative AI-powered Quality Assurance and Institutional Effectiveness platform for higher education institutions.

The successful candidate will work closely with the project founder, who has extensive experience in higher education quality assurance, accreditation, institutional effectiveness, KPI management, and regulatory reporting, to transform the concept into a scalable and commercially viable software product.

The platform will be designed to help universities manage and improve their quality assurance processes, including quality standards, KPIs, risks, evidence, action plans, self-study reports, annual reports, accreditation requirements, and institutional data.

This is an excellent opportunity for a developer who wants to take ownership of a product from the early development stage and play a key role in building a new EdTech / AI / Higher Education SaaS platform.

Key Responsibilities

• Lead the technical development of the platform from concept and MVP through to production.
• Design and develop a modern, secure, scalable web-based SaaS application.
• Develop both the frontend and backend of the platform.
• Design and implement databases, APIs, authentication, user roles, permissions, and data management systems.
• Integrate AI/LLM capabilities into the platform for document analysis, data analysis, quality assurance insights, report generation, and recommendations.
• Develop functionality for uploading, organizing, searching, and analysing institutional documents and evidence.
• Build dashboards for KPIs, performance indicators, risks, action plans, compliance status, and institutional performance.
• Develop AI-assisted tools for analysing evidence against quality standards and accreditation requirements.
• Build systems that can generate structured outputs such as self-study reports, annual quality reports, gap analyses, and improvement plans.
• Design the platform to support different universities, colleges, programs, users, and regulatory/accreditation frameworks.
• Develop secure APIs and integrations with university information systems and other data sources where required.
• Ensure the platform is scalable and capable of supporting multiple institutional clients.
• Implement appropriate cybersecurity, data protection, backup, and access-control measures.
• Test, troubleshoot, document, and continuously improve the software.
• Evaluate and recommend appropriate technologies, frameworks, cloud services, AI models, and third-party APIs.
• Take ownership of the technical roadmap and provide realistic development timelines.
• Work closely with the founder to translate higher-education QA requirements into practical software features.

Required Skills

• Strong experience in full-stack web application development.
• Strong knowledge of modern frontend and backend development.
• Experience with technologies such as React, Next.js, Node.js, Python, or equivalent modern frameworks.
• Strong knowledge of REST APIs and database architecture.
• Experience with SQL and/or NoSQL databases.
• Experience developing secure authentication, role-based access, and multi-user systems.
• Practical experience integrating AI/LLM APIs, such as OpenAI or equivalent platforms.
• Experience with Retrieval-Augmented Generation (RAG), embeddings, vector databases, or AI document analysis is highly desirable.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of software architecture, Git/GitHub, testing, deployment, and CI/CD.
• Ability to convert business requirements into technical specifications and working software.
• Strong problem-solving and analytical skills.
• Ability to work independently and take ownership of the development process.

Skills

Highly Desirable

Experience in one or more of the following would be a strong advantage:

• SaaS platform development
• EdTech
• Artificial Intelligence / Generative AI
• Document intelligence
• Enterprise software
• Higher education technology
• Quality assurance or accreditation systems
• Data analytics and dashboards
• Business intelligence
• University Management Information Systems
• API integrations with institutional systems
• Multi-tenant SaaS architecture