Lead AI Engineer

What You'll Do
Within 1 month, you will: Graduate in Convexity through our onboarding process and complete our coach training Understand our product offering, processes, and tools Get to know the AI Squad and your fellow AI Engineers Within 3 months, you will: Build a global view of our codebase and architecture (Pydantic AI, FastAPI, Azure OpenAI, ElasticSearch) Contribute meaningfully to an existing feature, hands-on Become the point of contact for the squad's technical topics Start coaching the AI Engineers: identifying their key strengths and areas for growth, and unblocking challenges proactively Become a trusted engineering partner to the squad's PM and PD 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 cost, improve latency, and scale to handle usage spikes Lead Performance Reviews and Career Path assessments for your AI Engineers Set the technical direction for AI features alongside the PM's product vision Share best practices and drive process improvements across the squad 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 expert the AI Engineers rely on, and define the next career steps for each of them with a concrete action plan Push technical innovation within the squad and across R&D (e.g. hackathons, transversal initiatives), keeping roughly 80% hands-on and ~20% on coaching and management

The Skill Set
The Skill Set 4+ years building GenAI / LLM-powered systems, with a track record of taking them from prototype to long-term production deployment Experience, formal or informal, as a tech lead, mentor, or coach for a team of engineers, ideally on a SaaS platform Strong Python experience, with a track record of clean, maintainable production code Hands-on experience integrating LLMs (Azure OpenAI, OpenAI, Anthropic, Mistral, etc.) and managing real-world constraints: token cost, latency, reliability, hallucinations Familiarity with: search / RAG / semantic search / vector databases; agents; LLM observability tools (Langfuse or similar); model evaluation Solid grasp of Machine Learning fundamentals (evaluation, experimentation, model lifecycle) Experience leading technical initiatives where performance, reliability, and accuracy are paramount A product-oriented mindset and genuine care for customers and their experience Excellent leadership, communication, and collaboration skills Fluent English (US/UK) / B2 level or equivalent (FR) Enthusiasm for our working environment (Convexity): https://bit.ly/Convexity360L

What We Offer
Compensation: Package includes base salary, a variable component 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/

Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.

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!