Full-Stack AI Software Developer – AI-Powered 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
.

• 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.

• 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 No
  
  SQL 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/Git Hub, 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.

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

• SaaS platform development
• Ed Tech
• 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