Applied AI Engineer (.NET/C#)

C# .NET (primary development language)

Large language model APIs across multiple providers

AI coding tools: GitHub Copilot, Cursor or equivalents

Prompt engineering and context design patterns

Retrieval-augmented generation (RAG), vector search, embeddings (desirable)

Evaluation frameworks and automated quality pipelines for AI outputs

Solid production experience with C# .NET, including working in established codebases you did not write, and shipping changes into them safely.

Hands-on experience building with large language models: prompt design, context engineering and structured outputs, in real work rather than tutorials.

A track record of shipping quickly, with examples of taking something from idea to working software in weeks rather than quarters.

Experience testing or evaluating LLM outputs in some structured way, and using the results to improve quality.

Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents.

Ensure AI features deliver accurate, trustworthy answers – a confidently wrong price, part match or stock answer is worse than no answer at all.

Understand the business problem behind each feature, not just the technical solution.

Work with product managers and subject matter experts to ensure AI capability genuinely serves customer needs.

AI capability shipped into at least one established product with evaluation behind it within the first six months.

Something built has gone from idea to customers in weeks, and held up in production.

Evaluation results have changed at least one decision, including, ideally, killing something that was not good enough to ship.

Engineers around you have picked up techniques from your work, even though teaching is not your primary job.

You can explain the business problem behind each feature you have built, not just the technical solution.

Bias to action – would rather build the small version today and learn from it than plan the big version for a month.

Honest about quality – measures, shows working, and does not ship something they would not stand behind.

Respectful of existing code and the engineers who maintain it – established systems are established for a reason, and working well within them is a skill you are proud of.

Curious about the trades Klipboard's customers work in, because domain detail is where the good prompts come from.

Comfortable with change – the tools will look different in six months, and that suits you fine.

Internal

Product managers and product owners (requirement understanding and feature scoping)

Engineering teams who own the established codebases you build into

Subject matter experts in Klipboard's product verticals (distributive trades, rental, automotive)

Senior Applied AI Engineer and R&D engineering leadership

External

LLM platform and tooling providers (as needed)

AI capability shipped into at least one established product, with evaluation behind it, and the team that owns that codebase is happy to have you back.

Something you built has gone from idea to customers in weeks, and held up in production.

Your evaluation results have changed at least one decision, including, ideally, killing something that was not good enough to ship.

You may also have seen from our recent posts that we are excited to begin sharing our new company name – Klipboard. Kerridge Commercial Systems (KCS) is becoming Klipboard and our new brand is designed to bring together our expertise across distribution, automotive, retail, rental, transport management, manufacturing, and field service management. We have offices based across the world and we are looking for talented individuals to join our growing teams. Due to our growth over the last few years it is an exciting time to join us as we enter our next chapter! At Klipboard we've introduced a flexible hybrid work policy, where employees spend three days in the office and two days working from home. This approach promotes a balanced work environment that combines office collaboration with the comfort and convenience of remote work."

As a global company, we value and respect the diversity of our workforce, aiming to empower everyone to embrace each other's differences. We are committed to creating an inclusive workplace where diversity, equity, and inclusion are integral to our company and culture. We recognize the benefits of a diverse workforce, where creativity and valuing differences enable us all to thrive and sparks innovation.

If you require any help, adjustments and/or support during the interview and offer process then please advise our TA or HR team.

Research shows that women and other underrepresented groups are less likely to apply for a role unless they meet every listed requirement. However, we recognise that skills and experience come in many forms, and we encourage you to apply even if you don’t meet every criterion. If you are passionate about this role and believe you have the right mindset and transferrable skills, we would love to hear from you!

To all recruitment agencies: Klipboard does not accept agency speculative resumes. At present we only accept CV’s from Agencies on our PSL who have been assigned specific position/s. Please do not forward resumes to our careers site or direct to Klipboard employee as this does not constitute an introduction and Klipboard retrospectively will not be liable for any candidate ownership or fees related to unsolicited resumes.

#LI-Hybrid