Principal AI Engineer - AI Tutor

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI.

As a trusted partner to over 17 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.

We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.

This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAE About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus.

You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm.

Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the why behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate.

If this sounds like you, we encourage you to apply!

Responsibilities

Build and evolve the core AI tutoring system , including prompt architectures, agentic workflows, and real-time adaptive behaviors. Run rigorous experimentation and evaluation , developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.

Design and implement scalable, maintainable software , integrating AI capabilities with platform systems, content pipelines, and user experience components. Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.

Prototype and productionize novel model interactions , leveraging emerging research and capabilities to advance the tutor's intelligence. Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.

Share knowledge and elevate teammates , contributing to a culture of clarity, simplicity, and continuous learning.

Qualifications

Technical 1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows. Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.

Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD. Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.

Product & Pedagogy Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions. Ability to reason holistically across AI behavior, content structure, platform features, and user experience.

Familiarity with learning science or a desire to develop expertise. Character & Collaboration Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions. Preference for elegance and simplicity in system design.

Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams. Why Dat