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/

Interview Process

Phone Screen with our Talent Acquisition Manager

Discovery Meeting with the Head of AI/Data

Case Study deep-dive with an AI Engineer and the Head of AI/Data

Clarification Meeting with an AI Engineer and PM

Culture Fit Meeting with our VP of Engineering

Ref Checks

Offer!

Get ready using our Knowledge Base: https://bit.ly/42H1ggC