Note: The job is a remote job and is open to candidates in USA. DataCamp is a leading platform empowering individuals with essential data and AI skills. The Principal AI Engineer will work on developing an AI tutoring system aimed at providing personalized learning experiences and improving educational outcomes.
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
Skills
- 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
- 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
- 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
Benefits
- Flexibility: Benefit from flexible working hours because the future is flexible!
- Access a yearly learning budget for conferences & training to support your professional growth.
- Participate in international company retreats, fostering a global team spirit.
- Yearly refreshment of your IT Equipment budget for your home working setup.
Company Overview
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