26 to 42 of 42 Prompt Engineering Jobs in the North of England

Senior AI Software Engineer, you will play a key role in designing, developing, and implementing intelligent software solutions that drive innovation, improve engineering productivity, and deliver measurable business value. You will work closely with AI Architects, Data Engineers, Data Scientists, Product teams, and Engineering colleagues to build scalable … Generative AI, AI-assisted code generation, automated testing, code review acceleration, agentic workflows, and development process optimisation. This role involves providing technical leadership, engineering expertise, and tooling oversight across the software delivery lifecycle, helping teams apply AI responsibly to modernise platforms, improve code quality, streamline delivery, and enhance developer ...

role involves building scalable AI-driven services, integrating with enterprise security technologies, and contributing to the evolution of a modern platform that combines software engineering, cloud services, artificial intelligence, and cybersecurity. The ideal candidate enjoys solving complex technical problems, can work across multiple technologies, and is comfortable learning … translate them into technical solutions. Produce maintainable, well-tested, and well-documented code. Participate in technical reviews and architectural discussions. Required Skills Software Engineering Strong software engineering fundamentals. Experience designing modular, maintainable systems. Experience building REST APIs and backend services. Experience developing reusable libraries or frameworks. Experience working ...

workflows using large language models (LLMs), retrieval-augmented generation (RAG) pipelines and embedding models. Develop scalable backend services and AI integrations, working closely with engineering, architecture and business teams, and support deployment, governance and operational rollout so solutions land production-ready and compliant. What we're looking for Strong … foundations in software or data engineering with hands-on experience delivering AI or AI-enabled solutions. Cloud and modern data infrastructure exposure, plus experience in Financial Services or another regulated industry, is essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/ ...

Agentic AI, Generative AI and Retrieval-Augmented Generation (RAG) solutions that power intelligent, customer-facing products used globally. Working closely with Product, Platform and Engineering teams, you'll develop production-grade AI systems, autonomous agents and LLM-powered applications, helping shape the future of AI across the organisation. What … agents capable of reasoning, planning and executing complex workflows. Develop multi-agent orchestration, tool integration and advanced retrieval strategies. Optimise LLM performance through prompt engineering, fine-tuning and evaluation. Work with Platform Engineering to deploy scalable AI services using Microsoft Azure. Mentor engineers and contribute ...

Agentic AI prototypes using Azure AI Foundry, Copilot Studio, Databricks Mosaic AI and MLflow. Building, optimising and evaluating Retrieval-Augmented Generation (RAG) solutions using prompt engineering and embedding models. Designing and deploying AI agents using frameworks including LangChain, LangGraph and AutoGen. Delivering production-ready GenAI applications for commercial …/or Scala. Experience with Azure cloud technologies including Azure OpenAI and Azure AI Foundry. Knowledge of Spark Structured Streaming, Autoloader and modern data engineering practices. Experience with ETL/ELT, data modelling and scalable data architectures. Familiarity with Azure Data Factory, Qlik Replicate and data ingestion pipelines. Does ...

/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business teams - Advise clients on AI platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning ...

enable more reliable and scalable product development Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation Analyse complex constraints across product, data, security, legal and operations, translating them into clear … monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges Advance digital and data-driven ...

manage AI agents, copilots, and workflow automation solutions. Build Retrieval-Augmented Generation (RAG) applications leveraging internal business data. Develop intelligent assistants supporting operational, engineering, customer service, and business functions. Implement multi-agent workflows and orchestration frameworks. Monitor and optimise AI solution performance, reliability, security, and cost efficiency. Governance & Compliance … based databases. Strong experience working within AWS environments and services. Desirable Experience AI governance and responsible AI frameworks. MLOps and LLMOps tools and methodologies. Prompt engineering and model fine-tuning. Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI. AI orchestration platforms such as n8n or similar technologies. ...

that will support clinical and operational decision-making. This is a highly impactful role where you’ll be working at the intersection of software engineering and agentic AI, developing intelligent applications that combine modern full-stack development with emerging AI technologies. You’ll join a forward-thinking engineering … building scalable software solutions using React, TypeScript and Node.js while integrating LLMs, AI agents and automation capabilities. You’ll work closely with product and engineering teams to translate ideas into production-ready solutions, helping shape the future direction of agentic AI within the business. What we’re looking ...

MLOps or LLMOps environments. Agentic AI frameworks such as LangGraph, CrewAI or AutoGen. AI orchestration tools such as N8N. Data governance and Microsoft Purview. Prompt engineering and model fine-tuning. Why Apply? Opportunity to become the first dedicated AI specialist within the business. Significant autonomy and ownership. Ability ...

Anthropic/Claude or similar foundation models. - Experience building AI workflows, agents, copilots or automation solutions. - Experience integrating APIs and SaaS platforms. - Strong software engineering skills in Python, JavaScript or another modern language. - Experience with automation platforms such as Make, Zapier, n8n or similar. - Strong understanding of prompt engineering, retrieval techniques and modern AI tooling. - A genuine product mindset with the ability to move quickly from idea to production. - Excellent communication skills with the ability to translate business problems into technical solutions. - Experience within e-commerce, retail or another fast-paced digital environment would be advantageous. ...

deploy enterprise-grade Generative AI solutions. The ideal candidate will have hands-on experience building LLM-powered applications, vector databases, semantic search systems, prompt engineering, and end-to-end RAG pipelines. Strong proficiency in: Python REST APIs ...

solutions, with strong hands-on Power Automate, Power Apps and Power Pages experience. Experience with Copilot Studio, Azure AI Services or similar, including prompt engineering, agent design, knowledge grounding, testing and responsible AI. Strong experience with system integrations, APIs, data connectors and low-code technologies, alongside Microsoft ...

technology, and continuous learning and improvement Ability to design logical workflows and structures digital solutions Familiarity with AI tools and platforms Effective prompt engineering skills Experience of delivering solutions which are compliant with AI, data, and security standards An understanding of LLMs and integrating AI services with other ...

days per week) Experience in building relationships with clients in fast-paced environments is a plus. A keen interest or experience in AI prompt engineering Desire to learn What We Offer: 26 days holiday plus flexible bank holidays (increasing by one day for each year of service ...

central role in delivering and evolving production-grade generative & agentic AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows … LangGraph. Proven track record building RAG systems; Graph-RAG a distinct advantage. Hands-on fine-tuning, instruction tuning, and knowledge distillation, not just prompt engineering. Solid evaluation and experimentation methodology for generative AI, focused on correctness, faithfulness, and robustness. Experience with large-scale, production-grade data pipelines, including performance ...

allows. Some travel may be required throughout the year to attend innovation workshops with the Alliance. What we're looking for A qualification in Engineering, Computer Science, Software Engineering or a related discipline. Experience working within manufacturing operations, ideally supporting digital transformation, Industry 4.0, automation or process improvement … digital/data concepts and physical manufacturing processes, including mechanical assembly lines. Knowledge of data architectures, cloud computing data pipelines, databases, Node-RED and prompt engineering. Strong problem-solving skills and the ability to translate business challenges into practical digital solutions. Excellent communication skills, with the confidence to work ...