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Vacantes / Datacamp

Principal AI Engineer

Datacampsenior

En corto

  • ▸Construyes un sistema de tutoría de IA que adapta el aprendizaje en tiempo real.
  • ▸Diseñas arquitecturas de prompts, flujos autónomos y evaluas el impacto del aprendizaje con métricas personalizadas.
  • ▸Destacado: Estás trabajando en resolver el problema de Bloom del 2 sigma con IA a escala.

Fluency in English required for cross-functional collaboration.

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En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

  • ✓1+ año construyendo sistemas basados en LLM.
  • ✓Experiencia en ingeniería de prompts y flujos agenticos.
  • ✓Capacidad para diseñar métricas de evaluación personalizadas.
  • ✓Fundamentos sólidos de ingeniería de software y Python.
  • ✓Conocimiento de infraestructura en la nube y CI/CD.
  • ✓Empatía por el aprendizaje y capacidad para traducir pedagogía en tecnología.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

LLMprompt engineeringagentic workflowsPythoncloud environmentsCI/CDproduction infrastructureevaluation frameworkscustom metricsreal-time adaptive systems

¿A quién escribirle en Datacamp?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 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 goa

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