The full-stack developer is required to contribute to a new commercialisation project called MESO, led by Prof. Owen Conlan. This project leverages Generative AI (LLM-based) technologies to assist educators in creating detailed, coherent, and engaging lesson plans that align with educational standards. User interactions include selecting learning outcomes, generating key learning points, and producing scaffolded lesson plans through an intuitive interface.
The Full-stack developer will be responsible for the technology stack required to deliver this innovation, including backend infrastructure, data management, APIs and front-end development. This will involve working with a cross-functional team of AI researchers, teachers, educators and designers, requiring consideration of immediate and longer-term goals of the innovation and implementing the required technical and architectural runway for each stage of development. Working in iterations and within an Agile framework to ensure continuous delivery of improvements and features.
Main Responsibilities As part of the overall project, this Full Stack developer will work on the following tasks:
Full-stack Development: Develop and maintain both front-end and back-end components of the platform. Implement the backend infrastructure for data management and API development. Ensure the smooth operation of the AI-powered planning tools and associated user interfaces.
Collaboration with Cross-functional Teams: Work closely with AI researchers, teachers, educators, and designers to integrate their insights into the development process. Understand and address the educational and user requirements to enhance platform usability and functionality.
Generative AI Integration: Contribute to developing and integrating the Generative AI (LLM-based) models and agents. Optimize AI algorithms for performance and scalability within the application.
Data Management & Anonymisation: Develop and manage scalable, secure, and efficient databases to support the project’s data needs, ensuring reliable storage and retrieval of information. Maintain data accuracy, privacy, and compliance with relevant standards and regulations, such as GDPR or FERPA, as applicable to educational data. Create and manage data flow between systems, enabling seamless integration with AI models and front-end applications.
Agile & Iterative Development: Use agile methodologies to ensure iterative progress and continuous feature improvements. Manage development sprints and deliver prototypes regularly to align with short-term goals and long-term vision.
System Architecture Planning: Define and implement the technical and architectural requirements for project scalability and innovation. Balance the immediate needs of the project’s goals, trials and validation with the long-term vision for the platform’s evolution.
Administrative As a Full-Stack developer, the successful candidate will occasionally be required to engage in administrative tasks to support the overall activity of the PI and Commercial Lead. This may include drafting sections of reports for funding bodies, organising a programme of suitably themed group meetings and seminars, contributing to research funding proposals, drafting ethics applications, and other such tasks as they arise.
Person Requirements We are looking for an experienced Full-Stack developer capable of working with a multidisciplinary team to deliver the technology stack and architecture to deliver MESO. Candidates with an interest in AI who are working with LLMs and/or web interfaces are particularly encouraged to apply.
Qualifications A primary degree in computer science or similar and industrial experience.
Knowledge & Experience (Essential & Desirable)
Essential: A minimum of 5 years experience in a software developer role Experienced in delivering production-ready software Experienced with technologies including ReactJS, HTML, CSS, JavaScript, RestAPI, MySQL and Amazon AWS Experienced in test-driven development Continuous delivery and cloud deployment experience
Desirable: AI/ML Knowledge: Familiarity with AI, particularly in integrating or working with LLMs and generative models.
Skills Essential: Front-end development: strong experience with frameworks like React, Vue, or Angular to build intuitive user interfaces. Back-end development: proficiency in backend frameworks and experience designing RESTful APIs. Database management: experience in database design and management (SQL and NoSQL databases), ensuring data security and scalability. Cloud services: experience with cloud infrastructure (AWS, GCP, Azure) for hosting applications, managing data, and deploying services. Ability to work effectively in a cross-disciplinary team with AI researchers, teachers, educators, and designers. Strong communication skills to discuss technical aspects with non-technical stakeholders and users. Experience working in Agile environments, contributing to sprint planning, and working in iterations to deliver continuous product improvements.
Application Procedure Applicants should provide the following information when applying: 1. A motivation statement outlining their interest and suitability for the position. 2. A comprehensive CV 3. The names and contact details (e-mail) of three referees.
Note: Candidates who do not address the application requirements above will not be considered for interview
The deadline for applications is 12:00 noon on 15th January 2025 Applications should be sent to Chris Byrne – [email protected]. Please include the job title in the subject line.
Further Information Informal enquiries about this post should be made to Dipto Barman – [email protected].
