
Principal AI Engineer – AI Tutor
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States, +3 more countries.
• Develop and enhance the foundational AI tutoring system, which includes prompt architectures, agentic workflows, and adaptive real-time behaviors.
• Conduct thorough experimentation and assessments, creating tailored metrics and frameworks to evaluate learning efficacy and enhance model dependability.
• Design and execute scalable and maintainable software that integrates AI functionalities with platform systems, content pipelines, and components of user experience.
• Work collaboratively across various teams, including educators, content developers, and product teams, to transform pedagogical objectives into technical solutions.
• Prototype and launch innovative model interactions utilizing cutting-edge research and capabilities.
• Maintain quality, safety, and observability through comprehensive monitoring, testing, safety measures, and iterative refinement of model performance.
• Share expertise and uplift team members, fostering a culture of clarity, simplicity, and ongoing learning.
• Over 1 year of experience in developing complex LLM-based systems.
• Strong intuition in prompt engineering.
• Experience in designing agentic workflows.
• Capability to create meaningful evaluation methods, including tailored metrics and frameworks.
• Solid foundation in software engineering and architectural thinking.
• Proficiency in Python.
• Comfortable with production infrastructure, cloud environments, and CI/CD practices.
• Actively engages with AI research and emerging technologies.
• Strong empathy for learners and content developers.
• Ability to convert pedagogical aims into system functionality and product decisions.
• Capability to reason across AI behavior, content organization, platform features, and user experience.
• Familiarity with learning science or a desire to gain expertise in this area.
• Determination in exploring and refining solutions to challenging, ambiguous issues.
• Preference for elegance and simplicity in system architecture.
• Clear communication skills across various mediums.
• Enjoy mentoring and collaborating within small, high-responsibility teams.
• Competitive salary accompanied by appealing benefits.
• Flexible working hours.
• Annual learning budget for conferences and training opportunities.
• International company retreats.
• Yearly budget refresh for IT equipment to support home working setups.
Rapid7
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