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DataCamp

Principal AI Engineer - AI Creator

Department
Engineering
Job Type / Location
remote
Experience Required
1+ years
Posted On

About the Role

DataCamp is building an AI Creator that empowers users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one. This role involves working on the core AI system that delivers real-time, adaptive learning experiences. If you are excited about building the future of human learning, this opportunity is for you.

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.

View Assessment Process

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