Lead AI Tutor Engineer — Remote, Flexible Hours

DataCamp; New York (NY); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Flexible working hours

Annual learning budget

Global company retreats

IT equipment budget for home setup

Job summary

DataCamp is building an AI tutoring system designed to emulate and surpass the best human tutors, delivering real-time adaptive learning experiences to learners. The role focuses on core AI components, agentic workflows, and evaluation frameworks, with a remote setup available from multiple regions.

The candidate should have hands-on experience with LLMs, prompt engineering, and scalable software design, while collaborating across educators, content creators, and product teams.

Qualifications

• 1+ years building complex LLM-based systems.
• Strong prompt engineering intuition.
• Fluency in Python and production infra awareness.
• Active following of AI research and emerging capabilities.

Responsibilities

• Build and evolve the core AI tutoring system with prompt architectures and real-time adaptive behaviors.
• Run rigorous experimentation and evaluation with custom metrics.
• Design scalable, maintainable software integrating AI with platform systems.
• Collaborate with educators, content creators, and product teams to translate pedagogical goals into technical solutions.
• Prototype and productionize novel model interactions leveraging emerging research.
• Ensure quality, safety, and observability through monitoring and testing.

Skills

Prompt engineering

Agentic workflows

LLM systems

Python

CI/CD

Production infra

AI research awareness

Tools

CI/CD pipelines

Cloud environments

Production systems

Job description

DataCamp is building an AI tutoring system designed to emulate and surpass the best human tutors, delivering real-time adaptive learning experiences to learners. The role focuses on core AI components, agentic workflows, and evaluation frameworks, with a remote setup available from multiple regions.

The candidate should have hands-on experience with LLMs, prompt engineering, and scalable software design, while collaborating across educators, content creators, and product teams.