Location
Argentina
Salary
(Yearly)
(Yearly)
(Yearly)
(Yearly)
(Hourly)
Undisclosed
Category
Software Engineer
Date posted
May 6, 2026
Job type
Contractor
Experience level
Summary this job with AI
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 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






