AI Solutions Engineer – Staff

🕒 May 29

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Ryz Labs

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11 - 50 employees

Ryz Labs builds startups from the ground-up and helps other startups scale by providing top-tier technical talent solutions.

📋 Description

• 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

🎯 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