DataCamp

5 days ago

Principal AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Build and evolve the core AI tutoring system that delivers real-time, adaptive learning experiences. You’ll design prompt architectures and agentic workflows, run rigorous experimentation with custom evaluation metrics, and implement scalable, maintainable software integrating AI with platform, content pipelines, and UX. Collaborate with educators, content creators, and product teams to translate pedagogy into technical solutions while ensuring quality, safety, testing, monitoring, and observability.

Location: United Kingdom, Belgium, Portugal, United Arab Emirates

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key 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.
•Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.

Pay and Benefits

Perks:Learning BudgetHome Office

Key Requirements

•1+ years building complex LLM-based systems with strong prompt engineering and experience designing agentic workflows.
•Design evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.
•Strong software engineering fundamentals and architectural thinking, fluent in Python, comfortable with production infrastructure, cloud environments, and CI/CD.
•Actively follow AI research and apply emerging capabilities creatively to real problems.
•Demonstrate empathy for learners and content creators, translating pedagogical goals into system behavior and product decisions.

Experience:1+ yearsAI researchLLM-based systems

Skills:Data-driven decision-makingOwnershipCollaborationCommunicationProblem-solving

Tech Stack:PythonLLMPrompt engineeringAgentic workflowsCI/CDCloudMonitoringTestingGuardrailsObservability

Company Brief

DataCamp

Provides an online learning platform offering interactive courses in data science, analytics, and programming with hands-on exercises, projects, and skill tracks for individuals and enterprises to build practical data skills.

Industry: EdTech

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2013

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

DataCamp

5 days ago

Principal AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: United Kingdom, Belgium, Portugal, United Arab Emirates

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key 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.
•Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.

Pay and Benefits

Perks:Learning BudgetHome Office

Key Requirements

•1+ years building complex LLM-based systems with strong prompt engineering and experience designing agentic workflows.
•Design evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.
•Strong software engineering fundamentals and architectural thinking, fluent in Python, comfortable with production infrastructure, cloud environments, and CI/CD.
•Actively follow AI research and apply emerging capabilities creatively to real problems.
•Demonstrate empathy for learners and content creators, translating pedagogical goals into system behavior and product decisions.

Experience:1+ yearsAI researchLLM-based systems

Skills:Data-driven decision-makingOwnershipCollaborationCommunicationProblem-solving

Tech Stack:PythonLLMPrompt engineeringAgentic workflowsCI/CDCloudMonitoringTestingGuardrailsObservability

Company Brief

DataCamp

Industry: EdTech

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2013

Website LinkedIn