AI Software Engineer-Reliability (hybrid)

AI Software Engineer-Reliability (Hybrid) - Plano, TX

Welcome to Ziosk, where we empower restaurants to focus on what matters most: the guest experience!

Have you ever used a tablet to pay at a restaurant? We pioneered the pay-at-the-table concept and we’re cooking up a plan to transform the restaurant industry. Our recipe for success has been adapting and growing to exceed the needs of our clients, such as Olive Garden, Texas Roadhouse, Chili’s and more – helping them create an experience that keeps guests coming back. Today we have a full menu of solutions, from hardware to software to cloud-based and AI driven products, all focused on helping them create the best guest experience possible to grow their bottom line. 

Our secret sauce? Our people! Every day, they’re cooking up bold solutions, making Ziosk the leading pay-at-the-table provider in the industry. 

Want a seat at our table? Ziosk is looking for a highly experienced AI Software Engineer-Reliability to join our Engineering team. This role combines deep technical debugging expertise with the use of AI-driven tooling and agent frameworks to accelerate issue diagnosis, reduce resolution timeframes, and improve system resilience across the Ziosk platform. You will leverage AI agents, intelligent log analysis, automated root cause workflows, and code-assist tooling to decrease MTTR, improve defect triage speed, reduce repetitive manual debugging, proactively identify systemic reliability risks. This role sits at the intersection of software engineering, production operations, and applied AI automation.

Key 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.

Required Skills & Qualifications:

• 3+ years of professional software engineering experience, including work in production environments.
• Proficiency in C++, C#, Kotlin, and Android development.
• Strong debugging and root cause analysis skills across multiple platforms.
• Hands-on experience using AI-assisted development tools (e.g., Copilot, LLM-based workflows) as part of daily engineering work.
• Practical experience building or contributing to AI-driven automation workflows, such as log analysis, retrieval-based systems, or task automation.
• Understanding of RESTful APIs, multithreading, memory management, and performance troubleshooting.
• Experience working with version control and CI/CD pipelines to deploy and validate fixes safely.
• Ability to analyze recurring defects and propose automation or systemic improvements.
• Strong communication skills and ability to collaborate across engineering and operations teams.

Nice to Have:

• Experience with Point of Sale (POS) solutions, especially in hospitality environments.
• Familiarity with EMV Payments and payment processing systems.
• Exposure to Digital Content Management platforms and workflows.
• Experience with embedded systems or hardware integration.
• Knowledge of cloud platforms (e.g., Azure, AWS) and backend services.
• Familiarity with Agile methodologies and ticketing systems (e.g., Jira).

Ziosk is an Equal Opportunity employer offering competitive benefits and compensation. Candidates must be eligible to work in the U.S. and be able to commute daily to Plano, TX.  No agencies or third-party recruiters, please.