• Designing, developing, and implementing generative AI solutions • Building and optimizing AI-powered applications • Developing prompt engineering strategies • Integrating LLMs with existing systems through APIs • Implementing RAG architectures • Writing clean, maintainable code • Ensuring responsible AI practices • Staying current with GenAI technologies.

• Write blog posts, tutorials, and analysis that other engineers actually want to read • Build relationships in 3-5 engineering communities where your perspective matters • Jump on timely industry topics with substantive takes, not hot takes • Partner with Marketing to coordinate timing without sacrificing authenticity • Contribute to CircleCI's AI team on features that ship to production • Be the first user of new AI-powered capabilities • Keep your technical skills sharp and your content grounded in reality • Make editorial calls independently while staying aligned with team goals • Represent CircleCI with good judgment in public forums • Find opportunities and act on them without waiting for permission.

**Responsibilities:** **1. eLearning Course Development** - Assist in the development of interactive eLearning courses using Articulate Storyline and Articulate Rise, as directed by the lead methodologist. - Create and refine visual elements (screens, interactions, triggers, animations) based on provided templates and brand guidelines. - Design supporting graphics and visuals that are clear, professional, and consistent with brand/style guides. - Revise course content based on feedback and updates from the lead methodologist. **2. Quality Assurance and Testing** - Test and troubleshoot course functionality, including navigation, triggers, and responsiveness. - Ensure consistent quality and usability across various devices and platforms. **3. LMS Management** - Upload and maintain course content in the LMS, including SCORM packaging, version control, and metadata. - Track course versions and assist in managing planned updates. - Keep file structures organized and up to date. **4. Collaboration and Support** - Work with subject matter experts and stakeholders to gather course requirements and ensure accuracy and quality. - Participate in team projects, brainstorming sessions, tool pilots, and the development of new formats or methodologies. **5. L&D Coordination** - Support the Training Department in planning and implementing training programs across departments. - Manage training records, ensuring accuracy, data integrity, and timely updates. - Schedule live virtual sessions, send reminders, and monitor attendance. - Participate in creating and updating training materials, manuals, and job aids. - Keep training project documentation organized (file structures, feedback logs, version notes).

• Lead Engineering Execution: Own sprint planning, standups, retrospectives, backlog grooming, and cross-functional coordination. Drive delivery across multiple product areas, including AI agents, workflow automation, integrations, and UI/backend systems. • Build & Maintain Engineering Metrics: Design and maintain dashboards and reporting systems covering capacity, velocity, lead time, deployment quality, resource utilization, and other performance KPIs. Identify trends and surface risks early through data-driven insights. • Technical Leadership & Mentorship: Provide architectural guidance for full-stack and AI/ML components. Shape design decisions, enforce high code quality, and ensure scalable and compliant infrastructure. • Process Optimization & Operational Excellence: Identify bottlenecks and friction points across teams. Implement process improvements and reinforce engineering best practices to improve speed, stability, and collaboration. • Cross‑Functional Collaboration: Collaborate closely with Product, Security, and Compliance to meet business requirements and regulatory needs (e.g., SOC2, HIPAA). Ensure all deliverables meet enterprise-grade standards. • Support Team Growth & Scalability: Help onboard and grow engineering talent, especially junior and mid-level engineers. Maintain high standards of execution as the organization scales. • Self‑Starter Mindset: Take ownership of undefined or evolving problems, propose and implement solutions independently, and adapt quickly in a fast-paced environment.