We have partnered with a technology business that is embedding AI directly into its core platform, focusing on practical, customer-facing use cases rather than standalone experiments. They are now looking to hire an Applied AI Engineer to help turn AI capability into features that are used in production every day.
This is a hands-on role for someone who enjoys working at the intersection of engineering, product, and AI, and who is motivated by outcomes rather than experiments that never leave the lab.
About the role:
Build and ship AI-powered features that are embedded directly into customer-facing productsWork closely with Product and Engineering to translate real user problems into practical AI solutionsDesign and implement AI workflows that move from experimentation into reliable production systemsApply techniques such as LLM integration, prompt engineering, embeddings, and retrieval-based approaches where they add genuine valueIntegrate AI components into existing backend services and product workflowsEvaluate model performance, reliability, and cost in real-world usageIterate quickly based on user feedback and product requirements
About you:
Strong engineering background with hands-on experience building and shipping AI-powered features into productionSolid experience using Python in real-world systems, including API development and service integrationPractical experience working with LLMs, including prompt design, model integration, and evaluation in live environmentsFamiliarity with techniques such as embeddings, vector search, and retrieval-based approachesExperience integrating AI components into existing backend architectures rather than greenfield demosStrong understanding of trade-offs around performance, cost, reliability, and security in AI systemsProduct-aware mindset, able to align technical decisions with real user and business needs
