Salary: £58,000 - 98,000 per year
Requirements:
- We have solid production experience with C# .NET, including working safely in established codebases we did not write.
- We have hands-on experience building with large language models, including prompt design, context engineering, and structured outputs.
- We have a track record of shipping quickly, taking work from idea to working software in weeks rather than quarters.
- We have experience testing or evaluating LLM outputs in a structured way and using the results to improve quality.
- We are fluent with AI coding tools such as GitHub Copilot, Cursor, or equivalents.
- We have experience with retrieval-augmented generation, agentic workflows, tool use, vector search, or embeddings in production settings.
- We have experience with LLM APIs across more than one provider and understand their trade-offs.
- We have exposure to one or more of our sectors, such as distributive trades, rental, retail, automotive aftermarket parts, or garage management.
- We have experience modernising or extending long-lived systems, in .NET or elsewhere.
- We are familiar with evaluation frameworks, test datasets, or automated quality pipelines for AI outputs.
Responsibilities:
- We deliver AI features end to end, from requirement understanding through to shipped, evaluated product capability.
- We build AI features quickly and properly, from prompts and context design through to full LLM integration in established C# .NET codebases.
- We make features production-grade with error handling, fallbacks, latency management, logging, monitoring, and solid evaluation before anything reaches a customer.
- We design and build prompts, context strategies, and LLM integrations for product features.
- We work primarily in C# .NET and integrate AI capability into established codebases through clean service boundaries and sensible abstractions.
- We prototype in days, harden in weeks, and understand the difference between a corner that can be cut and one that cannot.
- We build evaluation alongside the feature, test against real business cases, measure quality honestly, and let the numbers guide decisions.
- We handle error handling, fallbacks when a model misbehaves, latency, token cost, logging, and monitoring.
- We work with the engineers who own each codebase and fit within their patterns and pipelines.
- We keep up as models, tools, and providers change, and choose pragmatically on quality, cost, and latency.
- We share what we learn with engineers around us through code, examples, and conversation.
- We work with product managers, product owners, and subject matter experts to understand the business problem properly.
- We leave documentation in better shape than we found it.
- We contribute to shared knowledge and engineering standards as our AI practice matures.
Technologies:
- AI
- C#
- Copilot
- Cursor
- GitHub
- Support
- LLM
- ASP.NET
- ERP
- LESS
- RAG
More:
We are Klipboard, formerly Kerridge Commercial Systems, and we provide specialist software, services, and support that deliver fully integrated trading and business management solutions to companies in the distributive trade worldwide. We work with wholesalers, distributors, merchants, and retailers, from small traders to multinational enterprises, and we have offices in the UK, Ireland, The Netherlands, South Africa, Kenya, and North America. We are a global, growing business embracing AI and emerging technologies to improve customer outcomes, collaboration, and continuous improvement. Our mission is to help our customers source effectively, stock efficiently, sell profitably, and service competitively. We offer a flexible hybrid work policy with three days in the office and two days working from home, supporting a balanced environment with office collaboration and remote flexibility. We value inclusion, diversity, and curiosity, and we encourage people who are open to change and excited to learn how technology can improve the way we work and serve our customers.
last updated 36 week of 2026
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