Role Description As an AI Engineer, you will design and implement advanced AI models and algorithms that drive our products and services. You'll work closely with data scientists and product teams to develop solutions that leverage machine learning, natural language processing, and more. Key Responsibilities - Design and develop AI models and algorithms to solve complex problems. - Collaborate with cross-functional teams to integrate AI capabilities into existing products. - Analyze large datasets to extract insights and improve model performance. - Stay current with industry trends and advancements in AI technology. Qualifications - Strong experience in machine learning frameworks (TensorFlow, PyTorch, etc.). - Proficiency in programming languages such as Python, Java, or C++. - Familiarity with natural language processing and computer vision techniques. - Excellent problem-solving skills and a passion for AI innovation. Benefits - Flexible Work Environment: Enjoy the freedom of remote work while engaging in groundbreaking AI projects. - Growth Opportunities: We believe in nurturing talent. Optional career coaching services are available to support your professional development at no risk—if you don't find it beneficial, there's no obligation to continue. - Dynamic Team Culture: Be part of a team that values creativity and collaboration, where your contributions are pivotal to our success. How to Apply If you're ready to push the boundaries of AI technology, we want to hear from you! Please send a message on Instagram to @genomiller26!

• Map operational workflows across the business, beginning with Sales and expanding across the broader organization • Partner closely with Revenue Operations to identify high-impact opportunities for AI • Drive adoption by creating documentation, guardrails, and training • Partner with Engineering when solutions require custom development • Scale successful AI playbooks beyond go-to-market

• Review and adapt lectures and assignments on ML/AI. • Deliver live lectures or assignments totaling 8 hours a week. • Deliver lectures on ML/AI topics and perform code reviews. • Respond to student questions and provide guidance through Slack, Zoom, or related tools. • Provide regular feedback on student performance through the training program. • Update materials periodically and monitor course evaluations for adjustments. • Meet with the Program Coordinator and Mentors regularly for successful activity coordination.

• Work on Marketing Website and assist in developing new user-facing features using HTML, CSS, JavaScript and modern front-end frameworks • Leverage AI coding assistants (e.g., GitHub Copilot, Claude, ChatGPT) to accelerate development, workflows and improve code quality • Integrate AI-powered features into web interfaces, such as chatbots, personalized content recommendations, or AI-driven search functionality • Refactor and write clean, reusable, and maintainable code with HTML, CSS, and JavaScript • Work closely with design and backend teams to implement intuitive UI/UX designs, including AI-enhanced user experiences • Experiment with prompt engineering to optimize AI tool outputs for development tasks • Optimize components for speed, accessibility, and cross-browser compatibility • Participate in team code reviews and agile development workflows • Document AI workflows and best practices for the team