Software Engineer - AI Content Systems

Job Description

Software Engineer - AI Content Systems

TrueLearn Fully Remote

About TrueLearn

At TrueLearn, we help medical professionals provide the best possible care for their patients. Our learning science–driven platform supports clinicians at every stage of their careers, from board preparation through continuing education. The work we do touches the people who touch patients — which means every line of code, every model, and every experiment we ship has the potential to ripple outward into better care, better outcomes, and better lives.

We are looking for a software engineer to help build the AI-integrated content system at the center of our next-generation platform. All TrueLearn content is authored, organized, and validated by learning scientists and practicing clinicians. The system we’re building puts AI to work alongside them, generating, reviewing, and improving content under expert supervision. You’ll own meaningful pieces of that system and its integration into the learning platform.

The Role

Early, foundational work on a consolidating platform. We’re replacing a landscape that grew up in pieces with a single next-generation system. The decisions made now are the ones everything else will be built on top of.

We are building a deeply intelligent, human-supervised, adaptive learning platform that responds to each learner’s unique needs in real time, empowering them to master their domain. Achieving this visionary goal requires a foundation built on technical excellence and thoughtful engineering, beginning with these essential building blocks:

• AI-forward, full-stack development. We are building a sophisticated, adaptive engine using TypeScript and Next.js. You’ll be crafting the robust full-stack architecture that supports high-velocity AI integration, translating complex learning science into reliable, scalable software.
• Editorial workflows as the foundation of intelligence. Our content models aren’t just storage—they are the training ground for our AI. You will design intuitive, structured workflows that allow subject matter experts to collaborate seamlessly with AI, ensuring our system remains both human-supervised and machine-ready.
• A culture of rapid experimentation. We believe the best path to an adaptive learning future is paved with brave experimentation. You will be encouraged to test new approaches, use AI agents to accelerate velocity, and view failures as essential data points in our journey to build something truly transformative.

You’ll own features from design through production and make technical calls within your area. You’ll work alongside senior engineers who will push on your thinking as much as you push on theirs, and on a team where asking questions is a sign of engagement, not a gap.

How we work. We build with AI coding agents as partners. Our repo has maintained agent context, a doc-gardening skill that keeps it current, MCP tooling, and instrumentation to measure whether any of it is actually helping. We expect you to use agents to the fullest in your own work and to bring what you learn back to the team. When you find a bottleneck in how we work, we’d rather you tell us and help fix it than work around it quietly.

What You’ll Do

• Build AI powered features within our established content management framework using TypeScript, React, and Next.js
• Design how LLM output is structured, validated, and traced back to its source, so AI-generated content is something experts can trust and audit
• Implement multi-step editorial workflows that streamline collaboration among a wide and diverse group of experts and alongside AI agents; versions, assignments, revisions, audit trails, etc
• Design and implement role-based permissions across collections, so the right experts can do the right things without a support ticket
• Implement and extend WYSIWYG editing capabilities to support manual and automated edits, lineage, and history
• Write and review db migrations, and reason about how schema changes land in a system people are actively using
• Build and maintain integrations with TrueLearn products, platforms, and AI services.
• Work directly with cross-functional team members. See first-hand the impact of your work
• Investigate ambiguous problems and communicate what you find. The most impactful work starts with curiosity
• Notice what’s slowing the team down and do something about it. Flaky test, undocumented setup step, a review cycle that keeps stalling. The fix …