EdReports.org

Full-stack Engineer

• 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.

Software Engineer, AI Systems