Senior AI Android Engineer — Reliability & Automation

ISHIR

Plano (TX)

Hybrid

USD 140,000 - 180,000

Full time

14 days+
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Job summary

ISHIR is seeking an experienced AI Android Software Engineer – Reliability in Plano, TX. This hybrid full-time role focuses on integrating AI-driven tools, agent frameworks, and automation to accelerate issue diagnosis and improve production reliability across Android and backend platforms.

The ideal candidate will have strong Android and Kotlin development skills, plus proficiency in C++ and .NET/C#. They will work with AI-assisted analytics, AI-driven automation workflows, and CI/CD pipelines

Qualifications

  • 5+ years of professional software engineering experience in production environments.
  • Strong hands-on experience with Android and Kotlin development.
  • Proficiency in C++ and C#/.NET.
  • Strong debugging, troubleshooting, and root-cause analysis skills across multiple platforms.
  • Experience analyzing application logs, telemetry, production defects, and performance issues.
  • Hands-on experience using AI-assisted development tools, such as GitHub Copilot or LLM-based workflows.
  • Practical experience building AI-driven automation workflows, including log analysis, retrieval-based systems, or task automation.
  • Understanding of RESTful APIs, multithreading, memory management, and performance troubleshooting.
  • Experience with Git/version control and CI/CD pipelines for safely deploying and validating fixes.
  • Ability to translate recurring defects into automation or systemic reliability improvements.
  • Strong communication and collaboration skills across engineering and operations teams.

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, validate, and implement code fixes.
  • Identify repetitive break/fix patterns and develop AI-driven automation to reduce manual debugging efforts.
  • Integrate AI-supported diagnostics and automation into CI/CD pipelines and defect-tracking systems.
  • Develop durable fixes to reduce recurring incidents and improve system reliability.
  • Build and refine Retrieval-Augmented Generation (RAG) workflows to surface historical incident information.
  • Analyze production defects and recommend systemic improvements and automation opportunities.
  • Document resolutions, troubleshooting approaches, and automation improvements for AI-assisted resolution capabilities.
  • Collaborate with engineering and operations teams to improve production stability and reduce MTTR.

Skills

Android development
Kotlin
C++
C# / .NET
AI-assisted tooling
Root-cause analysis
Production debugging
RESTful APIs
CI/CD pipelines
Git / version control
Jira / ticketing

Tools

GitHub Copilot
LLM-based engineering workflows
Jira

Job description

ISHIR is seeking an experienced AI Android Software Engineer – Reliability in Plano, TX. This hybrid full-time role focuses on integrating AI-driven tools, agent frameworks, and automation to accelerate issue diagnosis and improve production reliability across Android and backend platforms.

The ideal candidate will have strong Android and Kotlin development skills, plus proficiency in C++ and .NET/C#. They will work with AI-assisted analytics, AI-driven automation workflows, and CI/CD pipelines

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