11 of 11 Remote/Hybrid Prompt Engineering Jobs in the North of England

solutions for production environments. The role will focus on Agentic AI solutions, RAG pipelines, LLM integrations, and cloud-native AI architecture , working closely with engineering, data, and business stakeholders. Essential Skills & Experience Proven experience designing, developing, and deploying AI/ML and Generative AI solutions into production Hands … Foundry and Azure OpenAI Strong experience building and optimising: RAG pipelines LLM integrations Agent-based workflows Expertise in: Model selection and fine-tuning Prompt engineering Enterprise system integration Solid data science fundamentals , including: Data analysis Feature engineering Machine learning Statistics Desirable Skills Advanced prompt engineering ...

hands-on role in the evolution of the core product and mobile experience Building and shipping features using modern AI tooling , including LLMs, prompt engineering, and agent-based workflows Improving and shaping the user experience through better product thinking, architecture, and delivery Working closely with the founders … where it looks good on a roadmap Making practical decisions around architecture, integrations, tooling, and technical direction Helping establish the foundations for the future engineering roadmap and team What Were Looking For Strong hands-on software engineering background Experience building and shipping real product in startup, scale ...

hands-on role in the evolution of the core product and mobile experience Building and shipping features using modern AI tooling , including LLMs, prompt engineering, and agent-based workflows Improving and shaping the user experience through better product thinking, architecture, and delivery Working closely with the founders … where it looks good on a roadmap Making practical decisions around architecture, integrations, tooling, and technical direction Helping establish the foundations for the future engineering roadmap and team What We’re Looking For Strong hands-on software engineering background Experience building and shipping real product in startup, scale ...

will directly support clinical and operational decision-making. This is a highly impactful role where youll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. Youll be joining a forward-thinking … engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What youll be doing Youll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. Youll work closely with product ...

directly support clinical and operational decision-making. This is a highly impactful role where you’ll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. You’ll be joining a forward … thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What you’ll be doing You’ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You’ll work ...

deliver AI-powered client solutions, including RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling Build scalable AI systems using modern software engineering best practice (clean code, testing, CI/CD) Develop internal AI tooling to accelerate engineering delivery Lead advanced AI knowledge-sharing sessions within internal … upskilling initiatives Evaluate emerging AI frameworks, protocols, and tooling Support pragmatic AI adoption across multidisciplinary engineering teams AI Engineer Requirements Essential: Strong software engineering foundations with a production mindset Proven hands-on experience with Large Language Models (LLMs), including API integrations, prompt engineering, agent workflows ...

intelligent systems in production. This is not a pure research or infrastructure role. We are looking for someone who can bridge product thinking, software engineering, and real-world AI system behaviour, turning ideas into reliable, production-ready features used at scale. You will work across the full stack, with … responsibilities Design and build AI-powered product features end-to-end (frontend, backend, and AI layer) Work with LLMs in production environments, including prompt design, tuning, and debugging AI behaviour Investigate and resolve production issues such as hallucinations, incorrect outputs, and context injection failures Build scalable backend services ...

integrate) Ensure AI functionality is secure, scalable, and maintainable Collaborate on architectural decisions and technical direction Review code, mentor colleagues, and contribute to engineering best practices Take ownership of features from idea through to production release What We're Looking For Strong commercial experience as a Senior .NET/… agile environment Able to balance innovation with robustness and user impact Nice to Have Experience working on customer-facing products Exposure to data pipelines, prompt engineering, or AI optimisation Interest in shaping how AI is adopted across a wider product suite Why Join? Work on a well-established ...

develop and deploy new projects as well as maintain existing systems across both Azure and AWS environments. We expect you to bring a strong engineering foundation, but we also expect you to leverage modern AI tooling to work broadly and effectively across the full stack. The boundaries of what … GitHub Copilot, Cursor, Claude) as a core part of your daily development workflow — not just autocomplete, but agent-led development, spec-driven development and prompt engineering for code generation Ability to read, review and reason about AI-generated code — knowing when to trust it, when to challenge ...

delivery tools, supporting effective implementation in client environments and ensuring we deliver measurable value. You’ll also build confidence in key AI concepts like prompt engineering, LLMs, and RAG, helping translate customer needs into practical, trustworthy AI-enabled solutions. Key ResponsibilitiesProblem Definition & Discovery (Supported Ownership) Support discovery activities … first-pass requirements Identify gaps, edge cases, and assumptions Ensure final requirements are: Understandable Testable Reviewed and approved by accountable stakeholders AI-Assisted Analysis & Prompt Contribution Contribute to the creation and refinement of analysis and discovery prompts Follow established prompt standards to ensure: Reusability Auditability Safe handling ...

Dynamics, Azure, and third-party APIs. Implement retrieval-augmented generation (RAG) patterns, including knowledge libraries, data sources, grounding, and prompts. Optimize agent behavior through prompt engineering and iterative tuning. Collaborate with business teams to identify automation opportunities and convert requirements into agent designs. About You Experience building copilot ...