Ryz Labs logo
Ryz Labs

Building the future

AI Solutions Engineer – Staff

Solutions EngineerSolutions EngineerContractRemoteLeadTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

Argentina

Posted

8 days ago

Salary

0

Seniority

Lead

Postgraduate Degree8 yrs expEnglishAWSCloudElixirMicroservicesTerraform

Job Description

AI Solutions Engineer – Staff

Ryz Labs

• Own configuration, administration, and ongoing maintenance of our AI-powered application platform • Collaborate with infrastructure engineers to shape the framework and standards that govern how AI-assisted applications are built, reviewed, and deployed. • Design and build tooling that enables teams to develop and iterate on applications with greater independence and less engineering overhead • Evaluate AI-generated code for security, scalability, and production readiness, and define code review standards specific to AI-assisted development workflows • Serve as a technical advisor to non-technical stakeholders — helping them understand what is possible, where risk lives, and when engineering involvement is required • Establish and promote best practices for AI-assisted development across the engineering organization • Partner with the AI Solutions team and engineering leadership to define the long-term architecture of this platform as it scales

Job Requirements

  • 8+ years of experience building and shipping production-grade applications
  • Production experience in Elixir; ability to evaluate, refactor, and extend Elixir codebases and guide others doing the same
  • Experience with CI/CD tooling (GitHub Actions or similar) and infrastructure as code (Terraform, CloudFormation)
  • Deep working knowledge of modern AI development tools and LLM-assisted coding workflows (e.g., Claude, Cursor, Copilot, Lovable, or similar), with the technical depth to critically evaluate their output
  • Direct, hands-on experience building AI-powered applications — not just familiarity with the tools, but a track record of having shipped them
  • Experience in regulated environments or with applications subject to data sensitivity requirements (MNPI, PII, or similar)
  • Hands-on AWS experience, including deployment, infrastructure management, and cloud-native service patterns (Lambda, ECS/EKS, RDS, S3, SQS)
  • Experience building internal platforms or self-service developer tooling that reduces engineering toil and enables non-technical users
  • Ability to communicate clearly with non-technical stakeholders — translating technical constraints into plain language and advising business users on risk without requiring them to understand the underlying architecture
  • Strong ownership mindset: comfortable operating with ambiguity and defining the path forward with minimal direction
  • Nice to Have: Familiarity with microservices architecture and service decomposition patterns
  • Interest in sports or collectibles a plus!

Benefits

  • Remote, only for candidates in LATAM

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