AI Production Support Engineer
Posted: 10/11/2026
Job Number: Job-7792
Job Description
HumCap's client is looking for a highly experienced AI Software Production Support Engineer to join the 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 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:
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.
- 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.
- 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).
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