Full Stack AI Engineer (Azure)

Remote position within Argentina & Uruguay RYZ Labs is seeking a highly skilled and experienced Full Stack AI Engineer to join our client’s team, focused on building and implementing enterprise-grade monitoring solutions across Azure environments.

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.

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 Azure cloud platform
• Experience with containerization tools such as Docker and CI/CD pipelines
• Strong understanding of software development best practices, testing, scalability, and system reliability
• Experience working in Agile development environments
• Strong communication and collaboration skills

Key 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

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
• Experience mentoring engineers and contributing to architectural decisions
• Interest in emerging AI development tools and intelligent engineering workflows