Associate Software Engineer

Harris Computer

. Integrate GitHub Copilot, Claude Code, Cursor, and other AI coding tools into the daily development lifecycle .

Posted 10/13/2026full-timeRemote • Texas • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates proficiency in integrating AI coding tools into development workflows, with a strong foundation in programming principles and the ability to analyze and validate AI-generated code. Capable of crafting and optimizing prompt chains for algorithmic tasks while ensuring code quality through testing and peer reviews.

Highest-signal resume keywords

AI Coding Tool IntegrationPython ProgrammingTypeScript DevelopmentReact FrameworkCode Review Participation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData StructuresObject-Oriented DesignAsynchronous PatternsUnit TestingIntegration TestingDebuggingCode ValidationAlgorithm OptimizationPrompt Engineering

Soft Skills

Analytical ThinkingCommunicationCollaborationProblem-SolvingClarifying Questions

Tools & Technologies

GitGitHubGitLabLarge Language Model APIsRetrieval-Augmented Generation

Certifications & Qualifications

Bachelor's Degree in Computer ScienceSTEM MajorCoding Bootcamp Background

Industry Keywords

AI Coding AssistantsSoftware Development LifecycleModular CodeMaintainable CodeDeveloper Productivity Automation

Tech Stack

Tools & technologies

PythonReactTypeScript.NET

About the role

Key responsibilities & impact

Integrate GitHub Copilot, Claude Code, Cursor, and other AI coding tools into the daily development lifecycle
Critically analyze and understand AI-generated code before committing
Identify edge cases, logic gaps, and potential bugs in AI-generated outputs
Implement clean, modular, and maintainable code using modern frameworks such as Python, TypeScript, React, or .NET
Instruct AI tools to write comprehensive unit and integration tests
Manually validate code correctness and participate in peer code reviews
Craft, optimize, and document contextual prompt chains for complex algorithmic tasks and developer productivity automation

Requirements

What you’ll need

Bachelor's degree in Computer Science, a STEM major, or a coding bootcamp background with a strong portfolio of personal projects
0–2 years of professional software engineering experience
Strong grasp of core programming principles, data structures, object-oriented design, and asynchronous patterns
Demonstrated familiarity with modern AI coding assistants such as GitHub Copilot, Claude Code, or Cursor
Ability to debug, trace, and explain all shipped code, including AI-generated code
Comfortable using Git, GitHub/GitLab workflows, pull requests, and standard package managers
Ability to ask clarifying questions about business requirements and turn them into precise prompts and code logic
Familiarity with Python, TypeScript, React, or .NET
Experience with Large Language Model APIs or building simple AI-powered features is an advantage
Basic understanding of Retrieval-Augmented Generation (RAG) or agentic workflows is an advantage