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.