AI Reliability Engineer (Contract) – On-site Plano

Ziosk; Plano (TX); On-site; USD 96,000 - 138,000; Full time

Job summary

Ziosk is seeking an AI Software Engineer-Reliability (Contract) to join the on-site Plano, TX team. This role focuses on debugging, AI-assisted tooling, and reducing MTTR by applying retrieval-based workflows and automated root cause analysis.

You will work across Android (C++, Kotlin) and .NET systems, integrating AI-enabled diagnostics into CI/CD, and collaborating with operations to improve system resilience.

Qualifications

• 3+ years of professional software engineering experience in production environments.
• Proficiency in C++, C#, Kotlin, and Android development.
• Hands-on experience using AI-assisted development tools and AI-driven automation workflows.

Responsibilities

• Diagnose and resolve complex production issues across Android (C++, Kotlin, React Native) and .NET systems using logs, telemetry, and AI-assisted analysis.
• Design and improve AI-enabled log analysis and incident triage workflows to accelerate root cause identification.
• Leverage AI-assisted development tools to generate, test, and validate code fixes efficiently.
• Identify repetitive break/fix patterns and develop AI-driven automation to reduce manual debugging effort.
• Integrate AI-supported diagnostics and automation into CI/CD pipelines and defect tracking systems.
• Implement durable fixes that reduce repeat incidents and improve overall system reliability.
• Build and refine retrieval-based (RAG) workflows to surface historical incident context and detect recurring patterns.
• Document resolutions and automation improvements to expand AI-assisted resolution coverage and reduce MTTR.

Skills

C++

C#

Kotlin

Android

AI tooling

Root cause analysis

Debugging

REST APIs

CI/CD

Git

Tools

Copilot

LLM workflows

Job description

Ziosk is seeking an AI Software Engineer-Reliability (Contract) to join the on-site Plano, TX team. This role focuses on debugging, AI-assisted tooling, and reducing MTTR by applying retrieval-based workflows and automated root cause analysis.

You will work across Android (C++, Kotlin) and .NET systems, integrating AI-enabled diagnostics into CI/CD, and collaborating with operations to improve system resilience.