At a Glance
- Tasks: Join our team to develop AI-driven software and enhance user experiences.
- Company: Kinetic, a leading tech partner for universities, fostering innovation and collaboration.
- Benefits: Enjoy 25 days holiday, wellbeing days, and flexible benefits tailored for you.
- Why this job: Shape the future of AI in software development while making a real impact.
- Qualifications: Recent graduates in Computer Science or related fields with a passion for AI.
- Other info: Dynamic work culture with opportunities for growth and learning.
The predicted salary is between 30000 - 35000 £ per year.
Department: IT
Location: Ludlow
Compensation: £30,000 - £35,000 / year
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 world's 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.
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#, TypeScript, or SQL (or similar languages) through university or personal projects. A willingness to learn is more important than existing expertise.
- AI Tools: Interest in AI coding assistants such as Claude, Copilot, or Cursor. Experience is a plus but enthusiasm to explore these tools is what matters most.
- Problem-Solving: Strong analytical abilities and capacity to approach challenges with a creative, solution-oriented mindset.
- Learning Agility: Curiosity and enthusiasm for learning new technologies. A proactive, self-motivated approach to development.
- Communication: Clear articulation of technical concepts to diverse audiences, with a collaborative approach to working with others.
Desirable Experience
- Familiarity with C#, Angular, Web API, or SQL Server.
- Understanding of the higher education sector.
- Experience with agile development methodologies.
Benefits
At Kinetic, we believe work should come with rewards that make a real difference. Here’s just a taste of what you can expect when you join us:
- 25 days holiday (plus bank holidays) - with extra days the longer you’re with us
- Two paid wellbeing days each year, with a budget to enjoy some time out with someone important to you
- Enhanced pension contributions to support your future
- Two paid days a year to give back through volunteering, charity work, or sustainability projects with our Green Team
- Salary sacrifice schemes for electric vehicles and cycle-to-work
- 24/7 access to our Employee Assistance Programme for confidential advice and support
- A full annual health check to keep you at your best
- A flexible benefits platform - from life assurance and learning opportunities to retail discounts and cinema tickets
- A genuine people-first culture where your growth and wellbeing come first
- Performance-related bonus scheme to reward your contribution
- Regular socials - from team get-togethers to all-company celebrations, with each department owning a budget for their events
- The opportunity to attend group conferences, away days and learning forums both in the UK and abroad - network with other talent
We’ve created a welcoming office environment, with well-stocked kitchens offering free breakfast, fresh fruit, hot and cold drinks, and a range of tuck shop goodies to keep you fuelled throughout the day. Kinetic is an equal opportunity employer, fostering diversity and committed to creating an inclusive environment for all employees.
Innovation Acceleration Graduate Engineer (AI) R59703 in Ludlow employer: Kinetic
Contact Detail:
Kinetic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Innovation Acceleration Graduate Engineer (AI) R59703 in Ludlow
✨Tip Number 1
Network like a pro! Reach out to current employees at Kinetic on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the job. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your AI knowledge and coding skills. Practice common technical questions and be ready to showcase your problem-solving abilities. Remember, they want to see how you think and approach challenges!
✨Tip Number 3
Show your passion for AI! During interviews, share any personal projects or coursework that highlight your interest in AI tools. This will demonstrate your enthusiasm and commitment to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Kinetic team!
We think you need these skills to ace Innovation Acceleration Graduate Engineer (AI) R59703 in Ludlow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Innovation Acceleration Graduate Engineer role. Highlight any relevant projects or coursework related to AI, C#, or Angular. We want to see how your experiences align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for AI and software engineering. Share why you're excited about joining Kinetic and how you can contribute to our mission. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've tackled challenges creatively. We love seeing how you approach problems, especially in tech-related scenarios. It shows us your analytical abilities and mindset!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Kinetic
✨Know Your AI Tools
Familiarise yourself with AI coding assistants like Claude, Copilot, or Cursor. Be ready to discuss how you've used these tools in your projects or coursework, and think about how they can enhance your development process at Kinetic.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in your studies or projects, especially those involving programming or AI. Highlight your analytical abilities and creative solutions, as this role requires a solution-oriented mindset.
✨Understand Agile Practices
Brush up on agile methodologies and be prepared to discuss your experience with them. Mention any relevant group projects where you participated in stand-ups or sprint planning, as this will show you're ready to jump into the team dynamics at Kinetic.
✨Communicate Clearly
Practice articulating technical concepts in simple terms. You’ll need to collaborate with product managers and QA teams, so demonstrating your ability to communicate effectively will set you apart during the interview.