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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Engineer - **Company:** Kerridge Commercial Systems - **Location:** Tankersley, UK (Remote available) - **Salary:** £58,000.0 - £98,000.0 - **Contract:** Permanent contract - **Skills:** ASP.NET, .NET Framework, Artificial Intelligence, C Sharp (Programming Language), Cursor (Graphical User Interface Elements), Github, Search Technologies, Data Logging, GitHub Copilot, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Build Management - **Published:** August 27, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5856704741 ## About the Role * Solid production experience with C# .NET, including working in established codebases and shipping changes safely. * Hands-on experience building with large language models, including prompt design, context engineering and structured outputs. * 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 a structured way and using the results to improve quality. * Daily fluency with AI coding tools such as GitHub Copilot, Cursor or equivalents. * Preferred: experience with retrieval-augmented generation, agentic workflows, tool use, vector search or embeddings in production. * Preferred: experience with LLM APIs across more than one provider and an understanding of their trade-offs. * Preferred: exposure to distributive trades, rental, retail, automotive aftermarket parts or garage management. * Preferred: experience modernising or extending long-lived systems, in .NET or elsewhere. * Preferred: familiarity with evaluation frameworks, test datasets or automated quality pipelines for AI outputs. ## Description * Deliver AI features end-to-end, from requirement understanding through to shipped, evaluated product capability. * Build AI features quickly and properly, from prompts and context design through to full LLM integration in established C# .NET codebases. * Make solutions production-grade with error handling, fallbacks, latency management, logging, monitoring and solid evaluation before customer release. * Design and build prompts, context strategies and LLM integrations for product features. * Work primarily in C# .NET, integrating AI capability into established codebases through clean service boundaries and sensible abstractions. * Prototype in days, harden in weeks, and know the difference between a corner that can be cut and one that cannot. * Build evaluation alongside the feature, test against real business cases, and measure quality honestly. * Handle the unglamorous parts well, including error handling, fallbacks when a model misbehaves, latency, token cost, logging and monitoring. * Work with the engineers who own each codebase, fitting in with their patterns and pipelines so the work remains maintainable. * Keep up as models, tools and providers change, and choose pragmatically on quality, cost and latency. * Share what you learn with engineers around you through code, examples and conversation. * Work with product managers, product owners and subject matter experts to understand the business problem properly. * Leave documentation in better shape than you found it so the next engineer can pick up your work without friction. * Contribute to shared knowledge and engineering standards as the teams AI practice matures. 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