Lead AI Engineer

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