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# AI Software Engineer-Reliability (Contract) (On-site)

- **Company:** Tabletop Media, LLC
- **Location:** Dallas, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Agile Methodology, Artificial Intelligence, Amazon Web Services, Android Software Development, JIRA, Microsoft Azure, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Software Debugging, Digital Content, Memory Management, Hardware Design, Issue Tracking Systems, Log Analysis, Microsoft Copilot, Software Engineering, Multithreading, Retrieval-Augmented Generation, Large Language Models, Mttr, Software Troubleshooting, Reliability of Systems, Backend, Kotlin, React Native, Restful APIs, Software Version Control
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3b0408879d029edc

## About the Role

* 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).

## Description

* 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.