3 of 3 Remote/Hybrid Retrieval-Augmented Generation Jobs in Wales

deploying production AI applications using LLMs Designing agentic workflows and multi-step AI pipelines Developing scalable backend APIs and cloud-native services Creating RAG pipelines, embeddings and AI retrieval systems Improving AI reliability through testing, evaluation and guardrails Working closely with engineering, product and business teams Contributing … architecture decisions and AI best practice Helping shape the future direction of AI capability across the business Tech environment Python, AWS, APIs, LLMs, RAG, Docker, Kubernetes, microservices, cloud-native architecture and modern AI engineering tooling. What they're looking for Strong Python backend engineering experience Experience building and deploying ...

team of engineers. Key Responsibilities * Lead the development and deployment of AI-powered tools to improve efficiency and productivity * Design advanced solutions including automation, RAG, and LLM-based workflows * Collaborate with stakeholders to identify and deliver strategic AI initiatives that deliver measurable business value * Provide guidance on AI architecture, tooling … with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from a development perspective * Proven mentoring ...

guide AI development Key Responsibilities Lead the development and deployment of AI-powered tools to improve efficiency and productivity Design advanced solutions including automation, RAG, and LLM-based workflows Collaborate with stakeholders and internal teams to identify and deliver strategic AI initiatives that deliver measurable business value and increase productivity … experience in AI engineering or software engineering Strong Python experience Proven experience of building and deploying AI solutions end-to-end Experience with RAG and LLM-based solutions, and with workflow design (e.g. N8N, Power Automate, LangChain, etc.) Solid understanding of AI architectures and data pipelines Knowledge of security, compliance ...