8 of 8 Remote/Hybrid Prompt Engineering Jobs in the South East

services experience is beneficial but not essential. Key Responsibilities Design, build, and deploy Generative AI solutions using large language models (LLMs) Develop and optimise prompt engineering strategies for production use cases Build end-to-end pipelines (RAG, embeddings, vector search) for scalable GenAI applications Work with both structured … unstructured datasets, including text-heavy data Collaborate closely with data engineering and software teams to productionise solutions Identify high-impact use cases and contribute to the broader AI roadmap Ensure solutions align with governance, risk, and compliance standards Communicate insights and outputs clearly to both technical and non-technical ...

join a growing AI product business where solutions are built for real-world use, not experimentation. You will sit at the intersection of engineering and client delivery, shaping how generative AI is deployed in complex, regulated environments. The role offers meaningful ownership, exposure to senior stakeholders, and the opportunity … systems, LLM-powered applications, or agent-based workflows Experience working closely with clients or end users, translating real requirements into technical solutions Solid software engineering fundamentals, including maintainable code, testing, and collaboration with engineering teams Practical knowledge of prompt engineering, RAG pipelines, agent workflows, and model ...

grade systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role Youll sit at the intersection of AI, backend engineering, and cloud systems , designing and deploying intelligent features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots … existing cloud-native SaaS platforms Own the full lifecycle: experimentation prototyping production Optimise model performance, cost, and latency in real-world environments Collaborate across engineering, product, and data teams to identify high-impact AI use cases What Were Looking For 5+ years in software engineering, with strong experience ...

grade systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role Youll sit at the intersection of AI, backend engineering, and cloud systems , designing and deploying intelligent features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots … existing cloud-native SaaS platforms Own the full lifecycle: experimentation prototyping production Optimise model performance, cost, and latency in real-world environments Collaborate across engineering, product, and data teams to identify high-impact AI use cases What Were Looking For 5+ years in software engineering, with strong experience ...

systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role You’ll sit at the intersection of AI, backend engineering, and cloud systems , designing and deploying intelligent features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots … existing cloud-native SaaS platforms Own the full lifecycle: experimentation → prototyping → production Optimise model performance, cost, and latency in real-world environments Collaborate across engineering, product, and data teams to identify high-impact AI use cases What We’re Looking For 5+ years in software engineering, with strong ...

Docker, Kubernetes CI/CD, observability, testing for AI systems Experience Strong experience building LLM applications, RAG systems, or AI agents Understanding of prompt engineering, tool-calling, and orchestration frameworks Ability to work autonomously in a scale-up environment A product-focused mindset — you enjoy owning features ...

Copilot, and agent-based technologies Required Skills & Experience Proven experience with Microsoft Copilot, Power Platform, or similar AI tools Strong understanding of AI agents, prompt engineering, and conversational design Experience integrating APIs, data sources, and enterprise systems Familiarity with Microsoft 365 ecosystem (Teams, SharePoint, Dynamics, etc.) Strong problem ...

teams Evaluate emerging AI capabilities and integrate relevant innovations Qualifications AI Expertise (Essential): Proven experience working with applied AI systems Strong understanding of LLMs, prompt engineering, and agent-based workflows Experience with AI automation and orchestration across tools/models Awareness of AI governance, risk, and security considerations ...