Principal AI Engineer

Overview

Join DataCamp to help build an AI tutoring system that delivers real-time, adaptive learning at scale. You will work on core AI components, including prompt architectures and agentic workflows, to enhance learner outcomes. Collaborate with educators, content creators, and product teams to translate pedagogical goals into robust software; drive experimentation, reliability, and observability. This role offers remote work from UK, Belgium, Portugal, or UAE and a chance to impact how learners acquire data and AI skills.

Pay / Benefits

• competitive compensation
• flexible working hours
• yearly learning budget for conferences and training
• global company retreats
• IT equipment budget for home setup
• dynamic, challenging work environment

Responsibilities

• Build and evolve the core AI tutoring system, including prompt architectures and agentic workflows for real-time adaptive behavior
• Run rigorous experimentation and develop custom metrics to measure learning effectiveness and improve model reliability
• Design and implement scalable, maintainable software integrating AI with platform systems, content pipelines, and UX components
• Collaborate cross-functionally to translate pedagogical goals into technical solutions
• Prototype and productionize novel model interactions leveraging emerging research
• Ensure quality, safety, and observability through monitoring, guardrails, and iterative refinement
• Share knowledge and elevate teammates, fostering clarity, simplicity, and continuous learning

Key requirements

• 1+ years building complex LLM-based systems with strong prompt engineering and agentic workflow design
• Ability to design meaningful evaluation methods and custom metrics/frameworks
• Strong software engineering fundamentals, Python fluency, production infrastructure, cloud environments, CI/CD
• Active engagement with AI research and applying new ideas to real problems
• Strong empathy for learners and ability to translate pedagogy into system behavior and product decisions
• Holistic reasoning across AI behavior, content structure, platform features, and user experience

• empathy for learners and content creators
• clear communication across mediums
• collaboration in small, high-ownership teams
• LLM-based systems
• prompt engineering
• agentic workflows

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