Azure AI Engineer – REMOTE

Job Overview

logoGoFormz is a San Diego-based startup leading the mobile data capture industry. We empower businesses to replace paper forms with web and mobile-based digital forms that provide global access to the collected data. We are currently looking for a solution focused Azure AI Engineer to add to our growing team. We do everything from modern React apps to cross-platform mobile app development to extensive API development in a microservices architecture.
As an Azure AI Engineer, you will collaborate closely with a cross-functional team of engineers and technical product managers to enhance our platform with AI-powered features, transforming how our customers engage with our services. In this role, you will develop and integrate Azure AI services into our existing applications, making a tangible impact on the customer experience. You will be a key contributor to production code, and the solutions you build will become an integral part of the daily lives of thousands of our customers.
Responsibilities:Design, develop, deploy, and support Azure AI software components Monitor, maintain, and optimize AI applications for performance and scalability.Integrate AI capabilities into applications, leveraging Azure AI ServicesCoordinate with stakeholders to align AI solutions with organizational goals.Staying up to date on AI trends and ethical considerations, such as data privacy and mitigating bias in AI systemsDevelop and maintain microservice APIs using C# and .NetDevelop and maintain our front-end React applicationDevelop and maintain our cross-platform MAUI mobile appsParticipate in weekly releasesMentor junior software developers by advocating for best practices.Perform code reviewsMeet weekly with team to discuss ongoing projectsExtend and document changes to existing subsystems as needed Requirements:6+ years of experienceBachelor’s degree in computer science or related fieldC# / .NETRESTful APIsSQL and/or non-relational databasesHands-on experience with Azure AI services (Search, Vision, Speech, Vision, and Docs).Familiarity with the latest trends in AI and machine learning.Experience with large language models (LLMs) and vector databasesKnowledge of data governance, security, and AI compliance standards in Azure.Experience with microservice architectureExperience working in an Agile environmentExpertise in building secure, scalable, enterprise systemsStrong communication skills for explaining AI concepts to non-technical stakeholders.
Nice to Have:Azure AI Certification(s)Experience with Microsoft Fabric, Azure Data Factory or Azure Synapse Analytics.Azure Functions / Service Bus / Event HubsCI/CD pipelines – Azure DevOpsNoSQL Databases – MongoDB & CosmosDapper – or other microORMReact – or other modern JavaScript frameworkSQL – or other relational databaseDocker, Kubernetes, or Container AppsExperience with Azure Application InsightsExperience with database schema design and query optimization

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