360learning - AI Engineer

• Graduate in Convexity through our onboarding process • Understand our product offering through training • Meet the team through virtual coffee meets and happy hour • Learn our processes and tools • Get a global view of our codebase and architecture (Pydantic AI, FastAPI, Azure OpenAI, ElasticSearch) • Contribute meaningfully to an existing feature • Own end-to-end delivery of a new AI feature: from technical design through production launch • Optimize for real-world constraints: reduce per-request costs, improve latency, scale to handle usage spikes • Make architectural decisions as we scale from 5 to 10+ features • Prototype and ship advanced capabilities: new modalities, real-time collaboration • Be the technical authority from your peer • ## The Skill Set • 2 years of experience taking GenAI / LLM-powered systems from prototype to long-term production deployment • Strong Python experience, with a track record of clean, maintainable production code • Hands-on experience integrating LLM (Azure OpenAI, OpenAI, Anthropic, Mistral, etc.) and managing real-world constraints: token costs, latency, reliability, hallucinations • Familiarity with • Search capabilities, RAG, semantic search, vector databases • LLM observability tools (Langfuse or similar) • Evaluation of models • Solid grasp of Machine Learning fundamentals (evaluation, experimentation, model lifecycle) • Fluent English (US/UK) / B2 level or equivalent (FR) • Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L