Ryz Labs
11 - 50 employees
Ryz Labs builds startups from the ground-up and helps other startups scale by providing top-tier technical talent solutions.
Principal AI Engineer
🔥 0 minutes ago
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Ryz Labs
11 - 50 employees
Ryz Labs builds startups from the ground-up and helps other startups scale by providing top-tier technical talent solutions.
📋 Description
• Drive the technical evolution of artificial intelligence and machine learning solutions across our client's global business portfolio. • Serve as the technical owner for how AI/ML engineering is designed, built, governed, and deployed. • Design and own the playbook for AI productization and governance, defining service patterns, security standards, evaluation rubrics, and production-readiness criteria. • Build reusable internal tooling, including AI scaffolding, monitoring systems, and data infrastructure designed for widespread adoption. • Establish robust AI agent governance policies (permissions, code execution controls, system access, human-in-the-loop enforcement). • Partner with Security, Legal, and Compliance teams to define SOC2/ISO-aligned AI controls, vendor requirements, and data classification policies. • Define standardized deployment patterns using containerization, Infrastructure-as-Code (IaC), and reusable CI/CD pipelines. • Champion AI-assisted development practices, test-driven development (TDD), and modern software engineering standards across the organization. • Codify engineering baselines (CI/CD, DevOps, testing, delivery quality) for new and re-platformed products. • Mentor engineers and tech leads, driving measurable improvements in design quality, consistency, and production rigor. • Act as the primary technical authority on AI/ML, platform architecture, and modern engineering practices. • Bridge the gap between technical and non-technical stakeholders, translating complex architectural decisions, AI risk topics, and platform trade-offs into actionable executive guidance.
🎯 Requirements
• 15+ years of experience in software engineering, data science, or a closely related technical field. • Bachelor’s degree or higher in Computer Science, Engineering, or a related field. • Deep expertise in the Python ecosystem and AI/ML frameworks, with proven experience deploying models to public cloud infrastructure. • Demonstrated track record designing and operating multi-tenant AI services, LLM integrations, and microservices architectures in production. • Strong hands-on command of containerization (Docker), Infrastructure-as-Code (Terraform), and modern CI/CD practices. • Substantive experience with AI/LLM security risks (prompt injection, data boundary enforcement, model supply chain risks, threat modeling). • Exceptional written and verbal English skills, with the ability to articulate complex technical ideas to diverse audiences and senior stakeholders. • Passion for coaching, developing engineers, and advocating for engineering best practices.
🏖️ Benefits
• Customer First Mentality - every decision we make should be made through the lens of the customer. • Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated. • Ownership - step up if you see an opportunity to help, even if not your core responsibility. • Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect. • Frugality - being frugal and cost-conscious helps us do more with less • Deliver Impact - get things done in the most efficient way. • Raise our Standards - always be looking to improve our processes, our team, and our expectations.
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