
AI Engineer
Our Take
Architect and ship next-gen AI systems for content management at 360Learning.
What you’ll do
- Architect and ship AI systems
- Own technical strategy for AI features
- Collaborate with product, design, engineering
- Deliver new AI features end-to-end
- Optimize for cost, latency, scale
- Make architectural decisions
- Prototype advanced AI capabilities
What they’re looking for
- 2+ years GenAI/LLM production experience
- Strong Python development skills
- Experience with LLM integration
- Familiarity with RAG, vector databases
- Knowledge of LLM observability tools
- Solid ML fundamentals
- Fluent English
What you get
- Base salary and equity
- Work From Home stipend
- RTT, lunch vouchers
- Medical insurance
- Gym subscription
- 1 month parental leave
Skills & Focus Areas
- Pydantic AI
- FastAPI
- Azure OpenAI
- ElasticSearch
- Langfuse
- Python
As posted by 360Learning
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:
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Catalog Companion: An AI agent performing bulk catalog operations (sharing, archiving, tagging, author assignments)
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Smart Search: conversational search helping users discover the right content
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Conversational BI: Analytics and insights delivered through natural conversation
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AI Course & Question Generation: Creating questions and full courses from documents and titles
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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
What We Offer
Interview Process
Phone Screen with our Talent Acquisition Manager
Discovery Meeting with a ML Engineer
System Design with a Software Architect and our Tech Lead
Clarification Meeting with our Senior Data Manager
Culture Fit Meeting with our VP of Engineering
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!