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Full Stack AI Engineer

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Onsite

Full Stack AI Engineer

Ryz Labs

Full Stack AI Engineer

Skills

Google Cloud PlatformNextDockerReactTypescriptPythonC#MicroservicesKafkaRedisRabbitMQAIAWSGitHubGDPRJavascriptAzure

5 months ago

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Important information


Contract type:

Permanent

Location:

Argentina, Santiago del Estero Province, Argentina

Work mode:

Onsite

Published on:

7 August 2026

What they need


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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