AI Engineer

About the Role An exciting opportunity is available for an experienced AI Engineer to join a large enterprise organisation, helping design, build and deploy secure, scalable AI-enabled applications and services. The successful candidate will work across front-end, back-end, cloud and AI components to turn business opportunities into reliable production solutions. You'll have the opportunity to develop solutions including AI assistants, intelligent workflow automation, search and knowledge experiences, and generative AI applications. Working closely with business stakeholders, technology teams, architects and delivery teams, you'll take AI use cases from discovery and prototyping through to secure, governed production environments. You'll also play a key role in establishing reusable engineering patterns and ensuring AI solutions are reliable, supportable and integrated with enterprise systems and data. This is an initial 12-month contract with the possibility of extension, providing an opportunity to join a technology team undergoing significant AI transformation, working across modern Microsoft and Azure technologies while delivering practical AI solutions that have a direct impact across the organisation. You Should Have Proven experience delivering production software as an AI Engineer, Software Engineer or Full-Stack DeveloperStrong hands-on experience with Microsoft Azure and Azure AI servicesExperience with Azure AI Foundry, Azure OpenAI Service, Azure AI Search or Azure Machine LearningExperience with Microsoft Copilot Studio, Power Platform or agent-based AI solutionsStrong full-stack development capability using C#, .NET, Python, JavaScript or TypeScriptExperience with a modern front-end framework such as React or AngularStrong understanding of generative AI concepts including LLMs, embeddings, vector search, RAG and prompt engineeringExperience designing and consuming APIs and integrating cloud servicesStrong understanding of secure authentication and authorisationExperience with DevOps practices, automated testing and CI/CDStrong problem-solving and stakeholder communication skillsAbility to work effectively across both technical and business teams Technical Requirements Must Have Commercial experience delivering production softwareMicrosoft AzureAzure AI technologiesAzure AI Foundry, Azure OpenAI Service, Azure AI Search or Azure Machine LearningMicrosoft Copilot Studio, Power Platform or agent-based AI solutionsC# / .NET, Python, JavaScript or TypeScriptReact or AngularREST APIs and cloud integrationsSecure authentication and authorisationGenerative AI / Large Language ModelsEmbeddings and vector searchRetrieval-augmented generation (RAG)Prompt engineering and model evaluationDevOps and CI/CDAutomated testingProduction monitoring and observability Nice to Have Experience with data management, data quality and data governanceExperience with metadata, master data or data integrationKnowledge of MLOps or LLMOpsExperience with model lifecycle managementExperience with AI observabilityRelevant Microsoft certifications across Azure AI, development, data or solution architecture Key Responsibilities Design, develop, test and deploy production-ready AI solutions using Microsoft and Azure AI servicesBuild and deploy AI assistants and agents using Microsoft Copilot StudioDevelop generative AI, machine learning, intelligent search, document processing and automation capabilitiesDesign and implement retrieval-augmented generation, prompt orchestration and model evaluation solutionsImplement appropriate AI safety, evaluation and human-in-the-loop patternsDevelop responsive and accessible AI-enabled user experiencesBuild secure back-end services, REST APIs and integrations with enterprise applications and data sourcesApply strong software engineering practices including source control, automated testing, code review and CI/CDWork with business stakeholders and subject matter experts to identify opportunities for AI-enabled improvementTranslate business requirements and use cases into practical technical solutionsDeliver prototypes and proofs of concept before productionising validated solutionsEnsure AI solutions meet appropriate security, privacy and governance requirementsMonitor and optimise AI solutions for performance, availability, latency, scalability and costTroubleshoot production issues and contribute to service reliabilityDevelop reusable components, engineering patterns and deployment practicesKeep up to date with emerging AI and cloud technologies and identify opportunities for their practical adoptionCommunicate technical decisions, limitations, risks and operating requirements to technical and non-technical stakeholders Working Arrangements Hybrid working arrangementPerth based Contract & Benefits Initial 12-month contract with the possibility of extensionOpportunity to work on production AI solutions within a large enterprise environmentExposure to Microsoft Azure and modern AI technologiesWork across generative AI, intelligent automation, AI assistants and agent-based solutionsOpportunity to take AI concepts from prototype through to productionWork closely with business stakeholders, architects and technology teamsOpportunity to contribute to the organisation's broader AI transformationExposure to a broad range of cloud, software engineering and AI technologiesOpportunity to develop reusable AI engineering practices and solutions How to Apply If this opportunity resonates with you, please apply. For further details, contact Jakson on 0468 056 015 or jakson@versegroup.com.au.