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Shared by 
5 days ago
Requirements and responsibilities
Full Stack AI Engineer (.NET)RYZ Labs is looking for a Full Stack AI Engineer to help build and improve intelligent features across our client’s platform. This role involves working across both frontend and backend systems, with a focus on integrating AI capabilities into user-facing and internal tools.You’ll collaborate with product, engineering, and data teams to develop scalable solutions that enhance user experience, automate workflows, and improve system efficiency.About RYZ Labs:RYZ Labs is a startup studio founded in 2021 by two lifelong entrepreneurs. Our teams are remote and distributed across the US and LatAm, working with cutting-edge technologies to build scalable, impactful products.At RYZ, you’ll work with autonomy and ownership in a fast-paced environment, contributing to meaningful projects while continuing to grow alongside a strong team.Responsibilities:Develop and maintain full stack applications using modern frontend frameworks (React or similar) and .NET-based backend servicesBuild and integrate AI-powered features (e.g., automation, summarization, recommendations) into existing workflowsDesign and consume REST APIs and support backend services in .NETCollaborate with cross-functional teams to identify opportunities for automation and AI-driven improvementsWork with structured and unstructured data to support AI/ML use casesContribute to improving system performance, scalability, and reliabilitySupport basic monitoring and troubleshooting of production systemsBasic Qualifications:3–5+ years of experience as a Full Stack Engineer or Software EngineerStrong experience with .NET (C#) for backend developmentExperience with JavaScript/TypeScript and a modern frontend framework (React preferred)Familiarity with building and consuming REST APIsBasic experience working with AI/ML concepts or tools (e.g., APIs, LLMs, or automation workflows)Experience working with cloud platforms (AWS, Azure, or GCP) is a plusGood understanding of software development best practicesNice to Have:Exposure to AI tools such as OpenAI, embeddings, or prompt-based systemsExperience with SQL or NoSQL databasesFamiliarity with CI/CD pipelinesInterest in automation and improving operational workflows
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