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.

• 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

• 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

• 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