4 of 4 Prompt Engineering Jobs in Tyne and Wear

building the next generation of AI-native engineering talent engineers who use AI as a core part of how they work, not as an add-on. As an AI Engineer (Software), you will design, build, and ship production-grade software across the full stack, using AI-assisted tooling … standard daily practice alongside your core engineering skills. You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI systems — understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines. This ...

varying learner and employer requirements. AI Adoption & Workplace Application: Support employers to adopt and embed AI technologies within their organisations. Deliver practical training covering: Prompt engineering fundamentals Workflow optimisation using AI Automation opportunities through Copilot Studio and related technologies Promote responsible AI usage, including governance, ethics and data … Proactive, adaptable and solution-focused approach. Desirable Experience delivering AI or digital apprenticeship standards. Experience with Copilot Studio and Power Platform technologies. Knowledge of prompt engineering and AI adoption strategies. Understanding of automation tools and workflow design. Awareness of apprenticeship funding and compliance requirements. Teaching or training qualification ...

lead the design, architecture, and delivery of AI-powered solutions across client and internal projects. This role bridges business requirements, data science, software engineering, and cloud infrastructure to create scalable, secure, and production-ready AI systems. The ideal candidate combines strong technical expertise with stakeholder management skills … knowledge management systems. Generative AI Experience Design and scale LLM-based applications, including multi-model routing, context management, and cost/latency optimisation. Prompt engineering strategies. Agentic AI systems. RAG design patterns, including chunking strategies, re-ranking, hybrid search, and evaluation Evaluation and monitoring frameworks covering hallucination detection ...

layers - writing high-quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. … Code" practices to pair with and upskill internal government engineers, so capability genuinely transfers rather than staying locked in the consultancy team. Efficient, Sustainable Engineering Favour low-modality, resource-efficient designs where they meet the need - right-sizing models and infrastructure rather than defaulting to the largest/most ...