Lead AI Engineer

What You'll Do

Within 1 month, you will

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• Graduate in Convexity through our onboarding process and complete our coach training
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• Understand our product offering, processes, and tools
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• Get to know the AI Squad and your fellow AI Engineers

Within 3 months, you will

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• Build a global view of our codebase and architecture (Pydantic AI, FastAPI, Azure OpenAI, ElasticSearch)
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• Contribute meaningfully to an existing feature, hands-on
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• Become the point of contact for the squad's technical topics
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• Start coaching the AI Engineers: identifying their key strengths and areas for growth, and unblocking challenges proactively
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• Become a trusted engineering partner to the squad's PM and PD

Within 6 months, you will

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• Own end-to-end delivery of a new AI feature, from technical design through production launch
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• Optimize for real-world constraints: reduce per-request cost, improve latency, and scale to handle usage spikes
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• Lead Performance Reviews and Career Path assessments for your AI Engineers
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• Set the technical direction for AI features alongside the PM's product vision
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• Share best practices and drive process improvements across the squad

Within 12 months, you will

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• Make architectural decisions as we scale from 5 to 10+ features
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• Prototype and ship advanced capabilities: new modalities, real-time collaboration
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• Be the technical expert the AI Engineers rely on, and define the next career steps for each of them with a concrete action plan
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• 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

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

What We Offer

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Compensation: Package includes base salary, a variable component and equity 📈

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Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent.

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Balance: Flexible hours, full remote work possible anywhere in France 🏠

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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 🤝

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Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍

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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/