26 to 28 of 28 Prompt Engineering Jobs in the West Midlands

pipelines leveraging LLMs and RAG architectures. Develop SDKs and APIs to support AI-driven applications in resource-constrained or production-grade environments. Collaborate across engineering, product, and research teams to drive innovation in AI/ML-based products. Ensure high performance, testability, and reliability across the stack. Key Qualifications … deploying LLM-based systems (e.g., OpenAI, Hugging Face Transformers, LangChain, etc.). Deep understanding of AI application architecture, including RAG systems, vector databases, prompt engineering, and fine-tuning. Experience with ML model serving, SDK development, and working in production-grade environments. Ability to work across the full stack ...

pipelines leveraging LLMs and RAG architectures. Develop SDKs and APIs to support AI-driven applications in resource-constrained or production-grade environments. Collaborate across engineering, product, and research teams to drive innovation in AI/ML-based products. Ensure high performance, testability, and reliability across the stack. Key Qualifications … deploying LLM-based systems (e.g., OpenAI, Hugging Face Transformers, LangChain, etc.). Deep understanding of AI application architecture, including RAG systems, vector databases, prompt engineering, and fine-tuning. Experience with ML model serving, SDK development, and working in production-grade environments. Ability to work across the full stack ...

lead the design and productionisation of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google's AI ecosystem. You'll be a senior, hands-on engineer owning complex technical … including fine-tuning, vector search, and low-latency inference. Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering. Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety. Develop and deploy autonomous or semi-autonomous agents using modern ...