Innovation Acceleration Graduate Engineer (AI) R58413
Kinetic | Milton Keynes, England, United Kingdom
About Kinetic
Founded in 1998, Kinetic develops innovative software to support university accommodation and conferencing teams. We are the technology partner of choice for leading universities, colleges and accommodation providers, managing over 350 customers worldwide and trusted by more than 80% of UK universities. Kinetic is part of the Volaris Group, a subsidiary of Constellation Software Inc. Our goal is to achieve £50m net revenue by 2032 and to provide a Kinetic product to every university student.
Your Role
You will join the Innovation Acceleration Team as a Graduate AI Engineer, working with the Senior Innovation Acceleration Engineer and cross‑functional teams. Your focus will be on integrating AI capabilities into our student accommodation and event management platforms, creating prototypes, and implementing AI features that enhance user experience and unlock new value for higher education customers.
Responsibilities
- Assist in the development and deployment of AI solutions across our products, including prompt engineering and model performance testing.
- Build proof‑of‑concept prototypes to demonstrate AI value for business challenges.
- Support data collection, cleaning, and preparation for AI systems; analyse performance metrics and user feedback.
- Collaborate with product managers, engineers, and professional services teams to integrate AI components successfully.
- Stay current on AI developments, researching potential applications for our higher education customers.
- Create documentation for AI systems and contribute to knowledge‑sharing initiatives that improve AI literacy across the organisation.
Qualifications & Desired Skills
- T‑shaped engineering profile: deep technical expertise in AI orchestration, systems architecture, or a related area, coupled with broad cross‑functional skills.
- Recent graduate with a degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Proficiency in Python, data processing, analysis, and visualisation.
- Foundational knowledge of machine learning concepts, large language models and AI application patterns.
- Strong analytical, problem‑solving and communication skills.
- Learning agility and proactive self‑development.
- Experience with cloud services (Azure, AWS, GCP) and AI/ML offerings, Retrieval Augmented Generation (RAG), SaaS models, and agile workflows is desirable.
- Understanding of the higher education sector and AI ethics considerations enhances your fit.
Career Development Pathway
- Structured development program tailored to your strengths and interests.
- Opportunities to take on increasing responsibility as you grow.
- Clear progression path toward senior AI engineering roles.
- Cross‑functional exposure building a well‑rounded product development perspective.
- Support for continued education and professional certifications.
Benefits
- £30,000 – £40,000 per year salary.
- 25 days holiday plus bank holidays, paid wellbeing days, and generous vacation accrual.
- Enhanced pension contributions and salary sacrifice schemes for electric vehicles and cycle‑to‑work.
- Access to Employee Assistance Programme, annual health check, and flexible benefits platform.
- Performance‑related bonus scheme and regular social events.
- Opportunities to attend conferences, away days and learning forums in the UK and abroad.
EEO Statement
Kinetic is an equal opportunity employer, fostering diversity and committed to creating an inclusive environment for all employees.
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