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:
- Graduate in Convexity through our onboarding process
- Understand our product offering through training
- Meet the team through virtual coffee meets and happy hour
- Learn our processes and tools
Within 3 months, you will:
- Get a global view of our codebase and architecture (Pydantic AI, FastAPI, Azure OpenAI, ElasticSearch)
- Contribute meaningfully to an existing feature
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 from your peer
The Skill Set
- 2 years of experience taking GenAI / LLM-powered systems from prototype to long-term production deployment
- Strong Python experience, with a track record of clean, maintainable production code
- Hands-on experience integrating LLM (Azure OpenAI, OpenAI, Anthropic, Mistral, etc.) and managing real-world constraints: token costs, latency, reliability, hallucinations
- Familiarity with
- Search capabilities, RAG, semantic search, vector databases
- Agents
- LLM observability tools (Langfuse or similar)
- Evaluation of models
- Solid grasp of Machine Learning fundamentals (evaluation, experimentation, model lifecycle)
- Fluent English (US/UK) / B2 level or equivalent (FR)
- Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L
What We Offer
- Compensation: Package includes base salary and equity 📈
- Benefits/Perks: Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent.
- Balance: Flexible hours, full remote work possible anywhere in France 🏠
- Diversity, Equity, and Inclusion: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
- Corporate Social Responsibility: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
- Culture: A framework that will make you successful - envision what's it like to join 360Learning from onboarding to ramp-up, and beyond: 🚀👩🏻💻🏆https://360learning.com/blog/360learner-journey/
Interview Process
Phone Screen with our Talent Acquisition Manager
Discovery Meeting with an AI Engineer
Case Study and Clarification Meeting with an AI Engineer and the Product Manager
Culture Fit Meeting with our VP of Engineering
- Offer!
