About this AI Solutions Engineer (Staff) role at Ryz Labs
Ryz Labs · Onsite · Buenos Aires
We are looking for a AI Solution Engineer for one of our clients. This is a first-of-its-kind role sitting at the intersection of platform engineering, AI-assisted development, and business-facing technical advisory. As AI-assisted development has become a core part of how teams across the business build internal tools, workflow applications, and operational software, a dedicated engineering function is needed to ensure that what gets built is scalable, secure, and maintainable.
The AI Solutions Engineer will own the engineering layer that supports this capability — configuring and evolving the platform that underpins it, establishing the standards that govern how AI-generated applications are built and deployed, and serving as a technical advisor to non-technical stakeholders throughout the process.
This role requires someone who can operate at both the platform and the people layer: building tooling that enables teams to move faster and more independently, while also advising on risk, trade-offs, and technical feasibility in plain language. T
The right person has genuine fluency with modern AI development workflows, earned by actually building with these tools, alongside deep production experience in Elixir and AWS.
What You Will Do
- 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 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
What We Are Looking For
- 8+ years of experience building and shipping production-grade applications
- 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
- Production experience in Elixir; ability to evaluate, refactor, and extend Elixir codebases and guide others doing the same
- Familiarity with microservices architecture and service decomposition patterns
- Interest in sports or collectibles a plus!
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