Full Stack AI Engineer
- Status
- Open
- Remote policy
- Remote
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- Fullstack-Development, AI-Engineering, Machine-Learning-Engineering, Backend-Development, Frontend-Development, Full-Stack-AI-Engineer, AI-Full-Stack-Engineer, Full-Stack-AI-Engineering, Full-Stack-AI-Developer, AI-Full-Stack-Developer, Senior-Full-Stack-AI-Engineer
- Source
- himalayas
- First observed
- 2026-09-03 18:57 UTC
- Last seen
- 2026-09-03 18:57 UTC
- Source claims posted
- 2026-09-03 18:56 UTC
- Consecutive misses
- 0 of 10
What the posting says
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, , or
equivalent)
Backend development experience with Python, Java, or , 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.
Originally posted on Himalayas
Quality
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#554613 2026-09-03 18:57 UTCPublished