AI DevOps Engineer
On-siteSandy, Utah, United States
Job Summary
Design and develop scalable backend systems for AI-powered platforms, building integrations with monitoring tools, CI/CD pipelines, and ticketing systems. Implement REST APIs, microservices, and event-driven architectures to automate complex operational workflows using LLMs, prompt engineering, and orchestration layers. Work with structured and unstructured data to power AI-driven decision-making while collaborating with Product, SRE, and Infrastructure teams. Troubleshoot and optimize production systems to improve reliability and observability. Contribute to reusable frameworks and engineering best practices within a fast-paced environment.
Required Qualifications
- Strong experience in backend development (Typscript, C#, .NET, Python, RUST or similar)
- Experience building scalable, distributed systems in cloud environments
- Familiarity with APIs, microservices, and event-driven systems
- Exposure to AI/ML concepts, LLMs, or AI SDKs (hands-on preferred)
- Experience with AWS / Azure / GCP
- Working knowledge of CI/CD, Docker, Kubernetes
- Strong problem-solving and analytical skills
- Ability to work in a fast-paced, evolving environment
Desired Qualifications
- Experience with LLM frameworks or prompt engineering
- Knowledge of observability tools (Grafana, Prometheus, etc.)
- Experience building automation or internal platforms
- Frontend exposure (React, JavaScript)
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