Full Stack AI Engineer (.NET) 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.\nResponsibilities: Develop and maintain full stack applications using modern frontend frameworks (React or similar) and .NET-based backend services Build and integrate AI-powered features (e.g., automation, summarization, recommendations) into existing workflows Design and consume REST APIs and support backend services in .NET Collaborate with cross-functional teams to identify opportunities for automation and AI-driven improvements Work with structured and unstructured data to support AI/ML use cases Contribute to improving system performance, scalability, and reliability Support basic monitoring and troubleshooting of production systems Basic Qualifications: 3–5+ years of experience as a Full Stack Engineer or Software Engineer Strong experience with .NET (C#) for backend development Experience with JavaScript/TypeScript and a modern frontend framework (React preferred) Familiarity with building and consuming REST APIs Basic 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 plus Good understanding of software development best practices Nice to Have: Exposure to AI tools such as OpenAI, embeddings, or prompt-based systems Experience with SQL or NoSQL databases Familiarity with CI/CD pipelines Interest in automation and improving operational workflows \n