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Salary
$53k – $133k per year (Estimated)
Location
Remote (Argentina)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
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Unlock the power of LatAm's elite nearshore talent with Ryz Labs. Our top-tier staff augmentation services provide access to the brightest minds in software development, IT, sales, ops, and CS. Elevate your team and achieve unparalleled results with our nearshore experts.

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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