AI Engineer

Job Description: Design and build AI-powered applications using LLMs, RAG architectures, and other applied AI systemsMaximise your chances of a successful application to this job by ensuring your CV and skills are a good match.Develop and maintain backend services that support AI platforms and integrate seamlessly with cloud infrastructureBuild and maintain integrations across various applications to extend AI capabilitiesDeploy, optimize, monitor, and troubleshoot AI solutions on AWS, Azure, and/or GCPImplement containerization and orchestration strategies using Docker and KubernetesEnsure AI systems meet performance, scalability, and reliability standards in productionDesign scalable AI architectures that translate business requirements into technical solutionsCollaborate with cross-functional teams throughout the full development lifecycleContribute to code reviews, technical documentation, and engineering best practicesRequirements: 5+ years of professional experience in AI engineering, machine learning, or software engineering with an AI focus, including production deployments and strong proficiency in Python and AI/ML frameworks, with a degree in Computer Science, Engineering, or equivalent practical experience2-3 years of hands-on experience with LLMs and RAG architectures in production environments, including vector databases3+ years of experience with cloud platforms, AWS, Azure, or GCP2+ years of experience with Docker and Kubernetes for containerization and orchestrationBenefits: Work Without Borders: Collaborate daily with experts from around the world and gain international exposure.Built for Remote: Join a fully remote culture designed for autonomy, flexibility, and trust.Diverse Perspectives: Be part of a multicultural team where different backgrounds are our greatest strength. xevrcyc