Applied AI Engineer

As organisations move from AI pilots into practical deployment, demand is growing for engineers capable of building real-world applications powered by large language models and modern AI tooling.Role OverviewBuild AI-powered applications, copilots and agentsIntegrate foundation models into business workflowsDevelop prompting, tool-calling and reasoning strategiesEvaluate and improve AI application performanceCollaborate with product, data and architecture teamsSupport deployment into production environmentsContribute to the design of scalable, maintainable AI systemsTools & Technologies (required)PythonOpenAI, Anthropic, Gemini or similar LLM platformsLangChain, LangGraph or equivalent frameworksAPIs and integration toolingGit DockerAWS, Azure or GCPExperience (required)Building and deploying AI applications into productionWorking across LLMsImplementing RAG architecturesDeveloping agentic AI workflowsIntegrating AI solutions with business systems and APIsUnderstanding of evaluation, testing and performance optimisationAbout YouStrong software engineering fundamentalsBuilder mentality with a focus on deliveryComfortable moving from prototype to productionFocused on solving business problems using AIPractical understanding of model limitations and trade-offsCurious about emerging AI capabilities but grounded in real-world implementationAdditional InformationPermanent, interim and fractional opportunitiesavailableExposure to a broad range of AI use cases and technologiesBenefits & Perks among the best around.