Principal ML Engineer

📋 Job Overview

Ryz Labs is looking for a Principal Machine Learning Engineer to join the core engineering team of one of our key international clients. In this role, you will play a pivotal part in shaping our client’s next-generation AI platforms, sitting at the intersection of production systems, applied AI, and engineering excellence.

You will bridge distributed systems architecture with hands-on MLOps and LLM engineering. We are seeking an exceptional technical leader who can design scalable multi-tenant architectures, build robust AI agent governance frameworks, and serve as a trusted technical authority collaborating directly with product managers and key client stakeholders.

🏢 About RYZ Labs:

RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.

Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.

At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.

🎯 The Role

In this role, you will play a pivotal part in shaping our client’s next-generation AI platforms, sitting at the intersection of production systems, applied AI, and engineering excellence.

✅ Key Responsibilities

• Production ML & Optimization: Deploy and manage AI models at scale, monitoring performance, hallucination rates, drift, latency, and infrastructure costs.
• Architecture & Delivery: Design distributed, event-driven microservices using Python, Go, or TypeScript while building IaC and CI/CD pipelines to ship your own services.
• AI Security & Governance: Implement agent permission structures, human-in-the-loop workflows, data isolation boundaries, and prompt injection defenses.
• Product Collaboration: Partner with Product Managers from inception to translate business requirements into scalable architectures and present trade-offs to executives.

📌 Required Qualifications

• 12–15+ years in software engineering, with a clear evolution from Backend/Distributed Systems Architecture into applied Production ML Engineering.
• Production ML Expertise: Deep experience with MLOps, model evaluation rubrics, advanced RAG, vector search (embeddings, HNSW, hybrid search), and fine-tuning.
• Software Architecture: Strong mastery of distributed systems, microservices, and asynchronous event-driven patterns in Python, Go, or TypeScript.
• Practical DevOps & Cloud: Hands-on command of Docker, cloud infrastructure (AWS/GCP/Azure), and automated CI/CD pipelines.
• AI Governance & Security: Practical knowledge of LLM safety, threat modeling, data boundary enforcement, and agent security.
• Fluent English & Communication: Ability to articulate complex technical trade-offs (e.g., RAG vs. Fine-tuning, latency vs. accuracy) clearly to client executives and non-technical stakeholders.

⭐ Desirable Experience

• Prior experience with multi-agent orchestration frameworks (e.g., LlamaIndex, Semantic Kernel, AutoGen, CrewAI, MCP).
• Experience in fast-paced consulting, advisory, or high-growth tech platforms.

🎁 Benefits

Competitive

🛂 Visa & Eligibility

Only candidates in LATAM are eligible for this remote position.