Full Stack AI Engineer
Team: Engineering
Location: Argentina
Commitment: Full Time - Contract
Workplace Type: remote
Full Stack AI Engineer
RYZ Labs is looking for a Full Stack AI Engineer to help design, build, and deliver intelligent, scalable, and customer-focused applications across our client’s platform. This role combines full stack engineering with AI-augmented development practices, leveraging modern AI coding tools and workflows to accelerate delivery and improve engineering quality.
You’ll work across frontend, backend, cloud, and AI-enabled systems, collaborating closely with product, engineering, and cross-functional teams to develop scalable solutions, improve system reliability, and deliver high-quality user experiences.
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 and services using modern frontend frameworks and backend technologies
- Design, build, and deliver scalable, high-performance features and systems across web applications and distributed architectures
- Leverage AI coding tools such as Claude Code, Cursor, and GitHub Copilot to accelerate development workflows and improve code quality
- Review and validate AI-generated code for correctness, security, performance, and maintainability
- Build and improve AI-assisted engineering workflows for automation, testing, documentation, and development efficiency
- Contribute to modernizing legacy services and architectures using cloud-native design patterns
- Design and consume REST APIs and support microservices-based systems
- Collaborate with product, engineering, design, and security teams to deliver resilient and customer-focused solutions
- Support cloud infrastructure, distributed systems, and backend reliability initiatives
- Contribute to improving scalability, observability, performance, and operational efficiency
- Help safeguard privacy, security, and data protection across implementations
- Mentor junior engineers and contribute to technical discussions, architecture decisions, and engineering best practices
Basic Qualifications:
-
- 5–8 years of experience as a Full Stack Engineer or Software Engineer
- Strong proficiency in two or more of the following: JavaScript/TypeScript, Python, or C#/.NET
- Experience building modern web applications using frameworks such as React, Next.js, Vue, or Angular
- Strong experience designing and consuming REST APIs and working with microservices architectures
- Hands-on experience using AI coding tools such as Claude Code, Cursor, GitHub Copilot, or similar tools in professional workflows
- Experience working with cloud platforms such as AWS, Azure, or GCP
- Experience with containerization tools such as Docker and CI/CD pipelines
- Familiarity with distributed messaging or streaming technologies such as Redis, Kafka, RabbitMQ, or similar
- Strong understanding of software development best practices, testing, scalability, and system reliability
- Experience working in Agile development environments
- Strong communication and collaboration skills
Nice to Have:
- Experience with AI development workflows, prompt engineering, or AI-assisted coding practices
- Familiarity with Model Context Protocol (MCP) and AI agent integrations
- Exposure to Azure AI Foundry, LangChain, RAG workflows, or graph-based AI technologies
- Experience with infrastructure-as-code and modern DevOps practices
- Experience mentoring engineers and contributing to architectural decisions
- Interest in emerging AI development tools and intelligent engineering workflows
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