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Lead AI Engineer
360LearningLead AI Engineer driving AI features for collaborative learning platform at 360Learning. Hands-on leadership role coaching AI Engineers and making architectural decisions for product growth.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying GenAI and LLM-powered systems, with a strong focus on Python programming and technical leadership. Capable of optimizing AI features for performance and reliability while mentoring a growing team of engineers.
Highest-signal resume keywords
GenAI / LLM-Powered Systems DevelopmentPython ProgrammingTechnical Leadership and MentoringIntegration of Azure OpenAI and Other LLMsMachine Learning Fundamentals
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
PythonGenAI DevelopmentLLM IntegrationMachine LearningProduction DeploymentTechnical DesignPerformance OptimizationModel EvaluationClean Code PracticesSaaS Platforms
Soft Skills
LeadershipCommunicationCollaborationProduct-Oriented MindsetCoaching
Tools & Technologies
Azure OpenAIElasticSearchPydantic AIFastAPILangfuseVector DatabasesRAGSemantic SearchLLM Observability ToolsHackathons
Industry Keywords
AI FeaturesTechnical DirectionReal-World ConstraintsCustomer ExperiencePerformance and Reliability
Tech Stack
Tools & technologiesAzureElasticSearchPython
About the role
Key responsibilities & impact- AI is central to 360Learning's strategy: our AI Squad ships agentic features that help users discover, create, and administrate content.
- Build a global view of our codebase and architecture (Pydantic AI, FastAPI, Azure OpenAI, ElasticSearch)
- Contribute meaningfully to an existing feature, hands-on
- Coach our team of AI Engineers (2 today, growing)
- 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
- Set the technical direction for AI features alongside the PM's product vision
- Push technical innovation within the squad and across R&D (e.g. hackathons, transversal initiatives) while keeping roughly 80% hands-on and ~20% on coaching and management
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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/