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RemoteListed Jul 6, 2026

Full Stack AI Engineer (.NET)

Ryz Labs

  • .NET-Development
  • AI-Engineering
  • Backend-Engineering
  • Full-Stack-AI-Engineer
  • Full-Stack-Engineering

Assessed from original listing evidence

The role

Job description

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 [link removed]’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 [link removed] 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 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

Originally posted on Himalayas

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