AI Engineer
AI Engineer responsible for designing, building, and deploying agentic AI features that enhance content discovery and administration. Works closely with product, design, and full‑stack teams to ship production‑ready ML models and services on AWS, using Python, NLP techniques, and containerization.
AI is central to 360Learning's strategy: our AI Squad ships agentic features that help users discover, create, and administrate content. As an AI Engineer, you'll architect and ship the next generation of these AI systems, from prototype to production.
You will join the AI Squad as its second AI Engineer, working closely with 1 peer AI Engineer, 1 Product Manager, 1 Product Designer, and 4 Full-Stack Developers. You will own the technical strategy for AI features while collaborating directly with product, design, and engineering.
Over the last year, we have shipped 5+ AI features powering thousands of users monthly:
Catalog Companion: An AI agent performing bulk catalog operations (sharing, archiving, tagging, author assignments)
Smart Search: conversational search helping users discover the right content
Conversational BI : Analytics and insights delivered through natural conversation
AI Course & Question Generation: Creating questions and full courses from documents and titles
Content Recommendations: Personalized content discovery
Our squad is unique because we operate in one of the fastest-moving fields in tech: AI!
Within 1 month, you will:
Within 3 months, you will:
Within 6 months, you will:
Own end-to-end delivery of a new AI feature: from technical design through production launch
Optimize for real-world constraints: reduce per-request costs, improve latency, scale to handle usage spikes
Within 12 months, you will:
Make architectural decisions as we scale from 5 to 10+ features
Prototype and ship advanced capabilities: new modalities, real-time collaboration
Be the technical authority for your peers
The Skill Set
Posted June 21, 2026