360learning - Lead AI Engineer

• 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 • 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 • 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 • 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 • 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