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Innovation Acceleration Graduate Engineer; AI

Job in Ludlow, Shropshire, SY8, England, UK
Listing for: Kinetic Software
Full Time position
Listed on 2026-01-11
Job specializations:
  • Software Development
    Software Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 30000 - 35000 GBP Yearly GBP 30000.00 35000.00 YEAR
Job Description & How to Apply Below
Position: Innovation Acceleration Graduate Engineer (AI)

Innovation Acceleration Graduate Engineer (AI)

Department: IT

Employment Type: Permanent - Full Time

Location: Ludlow

Compensation: £30,000 - £35,000 / year

Description

About Kinetic

Kinetic was founded in 1998 with one aim: to develop the most innovative software to help university accommodation and conferencing teams deliver the best student and customer experiences possible.

Fast forward 25 years, and we are now the technology partner of choice to the worlds' leading universities, colleges and accommodation providers.
We are ranked #1 on the APUC framework for student accommodation management, conferencing and events management, and multifunctional management systems. Our big hairy audacious goal (BHAG) is to achieve £50m net revenue by 2032 and for every person in a university to experience a Kinetic product.

We supply mission-critical software for over 350 customers worldwide, and we are trusted partners to over 80% of universities in the UK!

Since 2015, Kinetic has been part of the Volaris Group. Volaris help strengthen and grow vertical market software companies so, like Kinetic, they become leaders in their industry.

Key Responsibilities

Your Role:

Join Kinetic's KxWelcome development team and help lead our AI-first approach to software engineering. Working closely with the technical lead, your role will be to develop features across our .NET backend and Angular frontend while pioneering how we use AI tools in our daily workflow.

You will use AI coding assistants as your primary partner for writing, reviewing, and understanding code. Success in this role means learning to craft effective prompts, critically evaluate AI-generated output, and identify where AI can accelerate our development process, all while applying software engineering best practices to ensure quality, maintainable code.

Beyond day-to-day development, you will investigate emerging AI tools and techniques, evaluate their potential, and work with the technical lead to apply these approaches across the team and wider business. This is an opportunity to shape how we work as AI tooling evolves, contributing to building AI-driven features that enhance the student and staff experience.

You will collaborate closely with product managers, engineers, and QA teams, participating in code reviews and knowledge sharing as we continue modernising our platform.

Career Development Pathway:

  • Opportunities to take on increasing responsibility as you grow
  • Clear progression path toward more senior AI engineering roles
  • Cross‑functional exposure to build a well‑rounded understanding of product development
  • Support for continued education and professional certifications

Be Part of the Constellation Legacy:

We are a shining entity under the expansive umbrella of Constellation Software Inc., a global software powerhouse. Kinetic is a subsidiary of Volaris, which is a part of Constellation. Being part of this group offers numerous benefits such as access to a vast pool of talent, sharing of best practices, benchmarking, and learning opportunities. With us, you can broaden your horizons and tap into a wealth of knowledge.

Kinetic is an equal opportunity employer, fostering diversity and committed to creating an inclusive environment for all employees.

Responsibilities:

AI-First Development Use AI coding assistants and other tools to write, review, and test code across C#, Angular, and SQL.

AI Innovation Investigate new AI tools and techniques, presenting findings and working with the technical lead to adopt them across the team and wider business.

Agile Practices Participate in daily stand‑ups, sprint planning, and code reviews.

Documentation Document technical decisions, AI workflows, and best practices to support knowledge sharing across the team.

Quality Assurance Work closely with QA throughout the development process to ensure features are thoroughly tested and meet quality standards.

Skills, Knowledge and Expertise

Educational Background Recent graduate with a degree in Computer Science, Software Engineering, or a related field, with demonstrated interest in AI through coursework, projects, or internships.

Programming Skills Exposure to C#, Type Script, or SQL (or…

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