RYZ Labs

Nearshore AI engineering for enterprises.

Full Stack AI Engineer - Prod Support

AI Application Engineering +1Confirmed live in the last 24 hours

Full-timeRemote in ArgentinaNo salary listedRemote

About the Job

Requirements

At least 5 years of experience as a Full Stack Engineer, Platform Engineer, or AI Engineer, with ownership of production systems.
Strong proficiency in JavaScript or TypeScript and a modern frontend framework such as React, Next.js, or an equivalent.
Backend development experience with Python, Java, or Node.js, including building and maintaining secure APIs.
Hands-on experience delivering AI/ML solutions into production environments.
Strong experience in Python and/or Java for backend and ML development.
Hands-on experience with NLP, LLMs, or GenAI, such as transformers, embeddings, RAG, and prompt engineering.
Experience integrating AI solutions with ITSM tools such as HALO.
Knowledge of REST APIs, microservices, and cloud platforms such as AWS, Azure, or GCP.
Familiarity with MLOps, CI/CD, model deployment, and monitoring.
Solid understanding of ITIL / ITSM processes, including Incident, Problem, Change, and Request.
Experience working with Product Support, SRE, or NOC teams.
Ability to translate operational pain points into automation and AI use cases.
Background in cybersecurity, fraud detection, trust and safety, or abuse prevention.
Experience with graph-based ML, NLP for security signals, or time-series anomaly detection.
Knowledge of adversarial ML, model evasion techniques, or secure model design.
Experience building systems that operate under strict latency or reliability constraints.
Exposure to chatbots, copilots, or agentic AI frameworks.
Experience in high-volume, 24x7 production support environments.

Responsibilities

Design, build, and deploy AI/ML solutions to automate ITSM ticket triage, classification, prioritization, and routing.
Develop NLP-based models for ticket summarization, root-cause detection, and resolution recommendation.
Implement AI-powered virtual agents or copilots to assist support engineers and end users.
Partner with Product Support, SRE, and Engineering teams to understand recurring issues and automate resolution workflows.
Build intelligent runbooks and self-healing automation for common incidents and service requests.
Enhance knowledge management by auto-generating and updating knowledge-base articles from resolved tickets.
Integrate AI solutions with ITSM platforms such as HALO.
Develop APIs, workflows, and event-driven automations across monitoring, logging, and ITSM tools.
Ensure seamless handoff between AI systems and human support engineers.
Analyze ticket, incident, and operational data to identify automation opportunities.
Train, evaluate, and continuously improve ML models using real-world support data.
Implement monitoring for model performance, drift, and accuracy in production.
Ensure AI solutions meet reliability, security, and compliance standards.
Implement guardrails, explainability, and auditability for AI-driven decisions.
Contribute to AI governance and responsible AI practices.

Desired Qualifications

Publications, talks, or open-source contributions in AI or security.

Ryz Labs is looking for a Full Stack AI Engineer – Prod Support to build intelligent, secure, and scalable identity experiences across our client's platforms. In this role, you’ll work end-to-end—from frontend UX to backend services and AI models—focusing on authentication, authorization, identity verification, fraud detection, and personalization.

You’ll partner closely with product, security, and data teams to embed AI into identity workflows while

maintaining the highest standards of privacy, security, and reliability.

Responsibilities:

- Design, build, and deploy AI/ML solutions to automate ITSM ticket triage, classification, prioritization, and

routing

- Develop NLP-based models for ticket summarization, root-cause detection, and resolution

recommendation

- Implement AI-powered virtual agents / copilots to assist support engineers and end users

- Partner with Product Support, SRE, and Engineering teams to understand recurring issues and automate

resolution workflows

- Build intelligent runbooks and self-healing automation for common incidents and service requests

- Enhance knowledge management by auto-generating and updating KB articles from resolved tickets

- Integrate AI solutions with ITSM platforms (HALO)

- Develop APIs, workflows, and event-driven automations across monitoring, logging, and ITSM tools

- Ensure seamless handoff between AI systems and human support engineers

- Analyze ticket, incident, and operational data to identify automation opportunities

- Train, evaluate, and continuously improve ML models using real-world support data

- Implement monitoring for model performance, drift, and accuracy in production

- Ensure AI solutions meet reliability, security, and compliance standards

- Implement guardrails, explainability, and auditability for AI-driven decisions

- Contribute to AI governance and responsible AI practices

Qualifications/Requirements of the Position:

- 5+ years of experience as a Full Stack Engineer, Platform Engineer, or AI Engineer, with ownership of

production systems

- Strong proficiency in JavaScript/TypeScript and a modern frontend framework (React, Next.js, or

equivalent)

- Backend development experience with Python, Java, or Node.js, including building and maintaining secure

APIs

- Hands-on experience delivering AI/ML solutions into production environments

- Strong experience in Python and/or Java for backend and ML development

- Hands-on experience with NLP, LLMs, or GenAI (e.g., transformers, embeddings, RAG, prompt

engineering)

- Experience integrating AI solutions with ITSM tools (HALO, etc.)

- Knowledge of REST APIs, microservices, and cloud platforms (AWS, Azure, or GCP)

- Familiarity with MLOps, CI/CD, model deployment, and monitoring

- Solid understanding of ITIL / ITSM processes (Incident, Problem, Change, Request)

- Experience working with Product Support, SRE, or NOC teams

- Ability to translate operational pain points into automation and AI use cases

Knowledge, Skills, and Abilities Required:

- Background in cybersecurity, fraud detection, trust & safety, or abuse prevention.

- Experience with graph-based ML, NLP for security signals, or time-series anomaly detection.

- Knowledge of adversarial ML, model evasion techniques, or secure model design.

- Experience building systems that operate under strict latency or reliability constraints.

- Exposure to chatbots, copilots, or agentic AI frameworks

- Experience in high-volume, 24x7 production support environments

- Publications, talks, or open-source contributions in AI or security.

About RYZ Labs:

RYZ Labs is a startup studio founded 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 was their 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 cloud computing technologies to create scalable and resilient applications. We aim to provide diverse product solutions for different industries and plan 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.

Our values and what to expect:

- 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 it's 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 most efficiently.

- Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

About the Company

RYZ Labs

Nearshore AI engineering for enterprises.

Ryz Labs builds AI products for enterprises and platform companies by embedding senior Latin American AI engineers in a forward-deployed, nearshore model. They provide teams that design, build, and ship production AI apps, agents, and data products, primarily on Azure and other major clouds, working in US time zones. Clients include Univision, Fanatics, Serve Robotics, and Vayo Travel. The service lets clients hire senior LatAm AI engineers or full nearshore AI development teams in weeks rather than months. Their goal is to help enterprise customers accelerate AI product development with distributed, experienced teams that integrate with the client’s existing tech stack.

Company size: 51-200
Company stage: Not listed
Total funding: Not listed
Headquarters: Los Angeles, CA
Founded: 2021

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