Associate AI Assisted Software Developer

Harris Computer•Remote - Idaho, ID

6d•$65,000 - $75,000

About The Position

The purpose of this role is to understand requirements, business cases, user stories, and acceptance criteria, and to apply software engineering judgment, computer science fundamentals, and AI-assisted development practices to design, develop, test, enhance, and maintain software applications. This role will actively use approved AI development tools to accelerate coding, testing, troubleshooting, documentation, refactoring, and code review, while retaining human accountability for quality, security, maintainability, and production readiness. This position will help establish repeatable, responsible AI-assisted development practices that improve engineering capacity, consistency, and delivery speed.

Requirements

Understanding of requirements, business cases, user stories, and acceptance criteria
Application of software engineering judgment and computer science fundamentals
Proficiency in AI-assisted development practices
Human accountability for quality, security, maintainability, and production readiness
Ability to establish repeatable, responsible AI-assisted development practices
Production and execution of unit test cases
Adherence to established coding standards, secure development practices, and architectural patterns
Review, validation, and refinement of AI-generated outputs
Production of technical, installation, configuration, and troubleshooting documentation
Achievement of productivity and quality targets using AI-assisted workflows
Completion of assigned deliverables within defined timelines
Production of technical specifications, code, unit test plans, and related development artifacts
Delivery of committed development, testing, and documentation artifacts with increasing independence
Participation in agile processes (planning, grooming, walkthroughs, estimation, retrospectives)
Thorough review of work artifacts by peers, senior developers, or architects
Support for knowledge transfer, product continuity, and modernization efforts
Learning existing systems and documenting legacy behavior

Nice To Haves

Experience with approved AI development tools
Experience with AI-assisted test generation
Experience with AI SDLC governance requirements
Experience leveraging AI tools for documentation
Experience with AI-assisted workflows to improve development velocity
Experience with AI-assisted analysis in agile processes
Experience sharing effective prompts, workflows, lessons learned, reusable patterns, and responsible AI development techniques
Experience applying AI-assisted practices to new development and existing codebases

Responsibilities

Partners with Business Analysts, Product Owners, senior developers, and internal/external stakeholders to understand requirements, business cases, user stories, acceptance criteria, and customer impact
Uses approved AI-assisted development tools to accelerate software analysis, coding, debugging, refactoring, documentation, and testing, while maintaining human accountability for all final work products
Produces and executes unit test cases, including AI-assisted test generation where appropriate, to validate functionality against acceptance criteria and expected system behavior
Maintains established coding standards, secure development practices, architectural patterns, and AI SDLC governance requirements
Reviews, validates, and refines AI-generated outputs to ensure code quality, accuracy, maintainability, security, performance, and alignment with product standards
Produces supporting technical, installation, configuration, and troubleshooting documentation for internal and external publication as appropriate, leveraging AI tools to improve speed and consistency
Achieves productivity and quality targets by using AI-assisted workflows responsibly to improve development velocity, reduce rework, and deliver within budget, schedule, and defined quality standards
Completes assigned software and non-software deliverables within timelines defined by the Scrum Team, Project Manager, Product Owner, or technical leadership
Produces technical specifications, code, unit test plans, documentation, and related development artifacts in alignment with functional specifications, traceability requirements, and team standards
Delivers committed development, testing, and documentation artifacts with appropriate guidance from senior developers, architects, and managers, while demonstrating increasing independence over time
Provides input and assistance in preparing technical design specifications, including identifying opportunities where AI-assisted approaches can improve development efficiency, test coverage, documentation quality, or maintainability
Participates in planning, grooming, walkthroughs, estimation, retrospectives, and other agile processes, contributing informed technical input and AI-assisted analysis where appropriate
Ensures all work artifacts, including AI-assisted code, documentation, tests, and technical recommendations, are thoroughly reviewed by peers, senior developers, or architects for quality, security, performance, and production readiness
Contributes to continuous improvement of the organization’s Level 3 AI SDLC practices by sharing effective prompts, workflows, lessons learned, reusable patterns, and responsible AI development techniques
Supports knowledge transfer, product continuity, and modernization efforts by learning existing systems, documenting legacy behavior, and helping apply AI-assisted practices to both new development and existing codebases