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 at scale. Leveraging 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. Key Responsibilities

• 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 productionize 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.

Required Qualifications Technical Expertise

• 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.

Product & Learning Focus

• 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.

Leadership & Collaboration

• 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.

Preferred Experience

• Experience with:
  • OpenAI, Anthropic, Gemini, or open-source LLM ecosystems
  • LangChain, LlamaIndex, DSPy, AutoGen, 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.

What Our Client Offers

• 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 This role is ideal for a senior-level AI engineer who thrives in ambiguous environments, enjoys solving deeply technical problems, and wants to shape the future of AI-driven education and personalized learning experiences.