• Perform complex analysis, advanced level design, configuration and develop functions for impactful and high-visibility tasks. • Take the lead on directing and implementing solutions to moderately complex, loosely scoped problems that are aligned with team goals. • Deliver efforts both independently and by leading other team members. • Lead investigation and resolution efforts for critical, high impact problems, defects, and incidents. • Act as a technology advocate, independently seeking opportunities where technology can be utilized to improve the business. • Provide technical guidance and mentorship while fostering a team environment. • Apply knowledge of current industry trends and techniques to formulate solutions within the context of assigned efforts. • Seek opportunities to expand technical knowledge and capabilities. • Perform other duties as assigned.

• Working from your preferred location in Australia, design, develop, and implement robust and scalable software applications • Collaborate with our dedicated Product team to define technical specifications and deliver high-quality code • Participate in the software development life cycle, including coding, testing, debugging, and deployment • Continuously research and learn new technologies to enhance the company's technical capabilities • Contribute to the improvement and maintenance of our existing codebase

• Partner closely with product managers and subject matter experts to deeply understand the review process, user needs and pain points, and translate them into technical solutions. • Design and implement AI-powered system components, including building data ingestion pipelines, implementing retrieval systems to surface relevant content, designing prompt workflows, and coordinating multi-step interactions between LLMs and external tools. • Build internal tools and interfaces that enable users to interact with AI-generated outputs, including reviewing evidence, refining results, and contributing to final output. • Develop and optimize data pipelines and storage systems to support large, multi-modal curriculum datasets (e.g., long-form PDFs, web content, and embedded media), including metadata tagging and efficient retrieval. • Define and implement evaluation approaches (e.g., human-in-the-loop review, benchmarking, and output validation) to assess the quality, accuracy, and bias of AI-generated outputs. • Rapidly prototype and iterate on AI-driven features, balancing experimentation with production-grade engineering. • Develop and maintain systems, ensuring robust performance and adherence to web accessibility standards, security best practices, data privacy standards, and ethical technology use, especially when exploring AI applications. • Contribute high-quality, maintainable code, including documentation, to ensure code quality across the organization’s systems. • Provide strategic technical recommendations to leadership, aligning innovations with organizational goals. • Contribute to evolving team priorities and organizational needs, adapting approaches while maintaining clear ownership of outcomes and responsibilities.

• Develop and enhance features with a strong focus on automated testing, monitoring, and quality. • Actively contribute to architectural decisions, supporting a distributed, flexible, and scalable architecture. • Assist in defining the technical solution and software architecture for projects. • Ensure the execution of the development process stages. • Monitor and accompany deployments in the production environment. • Act as an ambassador for an agile mindset within the team.