Generative AI Integration for Developers Practitioner

Description

Role Overview

Ease Learning is seeking a qualified practitioner with applied, real-world experience in Generative AI Integration for Developers to participate in a skills assessment validation engagement. This is a short-term, contract, remote engagement in which the SME will complete a practitioner-level skills assessment and a brief post-assessment survey. This role does not involve teaching, instructional design, content creation, or ongoing advisory responsibilities.

Engagement Details

Engagement Type: Contract / 1099 – Short-term engagement

Location: Remote

Estimated Item Count: ~150

Estimated Time to Completion: Approximately 1–2 hours

Assessment Window: Work must be completed within a defined access window (typically 5 business days once access is granted)

Scope of Work

• Complete a practitioner-level skills assessment used for validation and standard-setting purposes.
• Complete a short post-assessment survey providing feedback on the assessment experience.
  
  

This Role Does Not Include

• Teaching or facilitation responsibilities
• Instructional or curriculum design work
• Content authoring or SME review of materials
• Ongoing advisory or consulting responsibilities
  
  

Requirements

Required Expertise

The candidate should be a current practitioner with applied, real-world experience related to the following knowledge areas and skills:

• Integrate AI-powered code generation and completion tools into software development workflows
• Evaluate and select appropriate generative AI tools for development tasks
• Apply generative AI to automate and enhance code testing and quality assurance processes
• Use generative AI to generate and maintain software documentation
• Implement prompt engineering techniques to optimize AI-assisted development output
• Understand the architecture and capabilities of large language models (LLMs) used in developer tools
• Integrate AI-powered APIs and SDKs into existing applications
• Apply best practices for security and data privacy when using generative AI in production code
• Use generative AI tools for debugging, refactoring, and code review
• Evaluate AI-generated code for correctness, efficiency, and maintainability
• Understand the limitations and potential biases of generative AI in software development
• Implement CI/CD pipeline integrations with AI-assisted tooling
• Apply generative AI to design patterns, architecture decisions, and technical documentation
• Manage AI model versioning and deployment in development environments
  
  

Ideal Candidate Profile

• Active practitioner with hands-on experience in Generative AI Integration for Developers or closely related domains.
• Practical, working knowledge of how the concepts listed above are applied in real professional settings.
• Does not need to be an academic researcher or industry thought leader — applied experience is what matters.
  
  

Minimum Performance Expectation

Participants must demonstrate baseline practitioner competency on the assessment. This threshold is used solely to ensure valid practitioner-level participation and is not used for hiring, ranking, or performance evaluation.

Deliverables

• Completed skills assessment within the defined access window.
• Completed post-assessment survey.
  
  

Compensation

This is a flat-fee engagement, paid upon successful completion of the assessment and survey.