Principal AI Engineer AI Tutor

Our client is building the next generation of AI-powered learning technology focused on delivering highly personalized, adaptive tutoring experiences eraging cutting‑edge LLMs, agentic workflows, and advanced evaluation frameworks, their platform is redefining how learners engage with technical and professional education.

This is an opportunity to join a high‑impact engineering team solving one of the most ambitious problems in AI today: creating intelligent tutoring systems that rival—and eventually surpass—the effectiveness of elite human instruction.

We are seeking a Principal AI Engineer to lead the design, experimentation, and production deployment of sophisticated AI tutoring systems that combine large language models, real‑time personalization, and scalable cloud architecture.

• Architect and enhance advanced AI tutoring systems utilizing LLMs, prompt orchestration, and agentic workflows.
• Design adaptive learning experiences that dynamically personalize content, guidance, and feedback in real time.
• Develop experimentation frameworks, evaluation pipelines, and custom metrics to measure learning effectiveness, model quality, and system reliability.
• Build scalable, production‑grade software solutions integrating AI services with platform infrastructure and content systems.
• Collaborate with product leaders, educators, content creators, and engineering teams to translate pedagogical goals into technical implementations.
• Prototype and product ionize emerging AI capabilities, incorporating the latest advancements in generative AI and machine learning research.
• Implement observability, testing, safety guardrails, and monitoring to continuously improve model performance and user experience.
• Provide technical leadership, mentorship, and architectural guidance within a highly collaborative engineering environment.
• Contribute to engineering best practices focused on simplicity, maintainability, scalability, and innovation.

• 5+ years of software engineering experience with at least 1+ years building complex LLM‑based or generative AI systems.
• Strong experience with:
  • Prompt engineering
  • Multi‑agent systems / agentic workflows
  • Retrieval‑Augmented Generation (RAG)
  • LLM evaluation frameworks
  • AI orchestration tools
• Advanced Python development skills.
• Experience building scalable cloud‑native applications in AWS, Azure, or GCP environments.
• Strong understanding of APIs, distributed systems, CI/CD pipelines, observability, and production infrastructure.
• Ability to create custom evaluation methodologies when standard AI metrics are insufficient.
• Deep curiosity and active engagement with emerging AI research and technologies.

• Passion for building products that improve learning outcomes and user engagement.
• Ability to connect AI behavior, user experience, and educational objectives into cohesive platform solutions.
• Exposure to learning science, instructional design, edtech, or adaptive learning systems is highly preferred.

• Strong communication and stakeholder engagement skills.
• Comfortable operating in fast‑paced, highly ambiguous environments.
• Proven ability to mentor engineers and influence technical direction.
• Passion for elegant system design and solving complex technical challenges.

• Experience with:
  • OpenAI, Anthropic, Gemini, or open‑source LLM ecosystems
  • Lang Chain, Llama Index, DSPy, Auto Gen, or similar frameworks
  • Fine‑tuning, reinforcement learning, or evaluation tooling
  • Real‑time conversational AI systems
  • Educational technology or personalized learning platforms
• Background in experimentation platforms, analytics, or human‑feedback systems.

• Competitive base salary ($180K–$250K)
• Bonus and/or equity potential
• Fully remote flexibility with East Coast USA preference
• High‑growth AI product environment
• Collaborative, mission‑driven engineering culture
  
  Opportunity to work on cutting‑edge AI applications with real‑world impact
• Professional development and continuous learning support
• Modern home office and technology stipend
• Exposure to some of the most innovative AI and product leaders in the industry

Ideal Candidate