3 of 3 Permanent Prompt Engineering Jobs in Sheffield

insights, and recommendations from both structured and unstructured data. As a Senior engineer, you will provide technical leadership, drive the adoption of modern AI engineering practices, and ensure that AI-powered solutions are robust, scalable, and reliable. Responsibilities Design, develop and maintain Python-based services and data processing solutions … Contribute to the delivery of scalable AI-powered solutions that improve investigative processes through automation and intelligent insights. Help establish and promote modern AI engineering practices, including agentic workflows, prompt engineering and AI-assisted development. Essential Skills Strong Python development experience, including building production-grade services ...

build automated and semi-automated evaluation frameworks, and validate both deterministic software behavior and non-deterministic AI outputs. This role works closely with AI Engineering, Product, Operations, Engineering, business analysts, business owners, and subject matter experts to build quality into AI products from the start and provide … accuracy, consistency, structured-output quality, policy adherence, and business-rule compliance of LLM outputs Detect, document, and reproduce AI-specific failure modes, including hallucinations, prompt injection, inconsistent outputs, formatting errors, data leakage, bias, unsafe responses, and model or prompt-update regressions Build automated and semi-automated AI evaluation ...

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 … with Microsoft 365 technologies, collaboration platforms, and SQL-based databases. 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. ...