Founding AI Engineer

𝗙𝗼𝘂𝗻𝗱𝗶𝗻𝗴 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿Voltaire is building the AI-native McKinsey. We are hiring the founding engineer who owns the engine.Strategy consulting is a $300-400B market that still runs on judgment and slide decks. Voltaire puts a number on every growth move, executes the ones worth making, and measures the result. Fees follow the measured outcome.𝗪𝗵𝗮𝘁 𝘆𝗼𝘂 𝘄𝗼𝘂𝗹𝗱 𝗼𝘄𝗻The engine is six layers: data, model, ontology, planning, action, and the evidence loop that recalibrates the model. All six are yours, with three jobs to get done.𝗠𝗮𝗸𝗲 𝗶𝘁 𝗱𝗲𝗺𝗼𝗮𝗯𝗹𝗲. A skeptical CEO connects their data and watches the decision graph score their real moves, with odds attached, in minutes. You build that path on the live system. The demo is the sales motion and the investor proof at once.𝗠𝗮𝗸𝗲 𝗶𝘁 𝗱𝗲𝗽𝗹𝗼𝘆𝗮𝗯𝗹𝗲. Client altitude means automated connectors into a company's stack, the decision schema at company scale, durable agent runs that survive approval pauses and process death, and outcome windows measured in months. One business or a thousand, same architecture.𝗠𝗮𝗸𝗲 𝗶𝘁 𝘀𝗲𝗹𝗹𝗮𝗯𝗹𝗲. Outcome pricing only works if the measurement holds. Golden sets, regression gates that block a degrading change, attribution that ties each result to the move that caused it, and cost per client tracked weekly. When a client pays on results, your measurement layer justifies the invoice.𝗧𝗵𝗲 𝘀𝗽𝗹𝗶𝘁Fabrice owns the market: positioning, clients. Ex-Logitech VP Marketing & Innovation, 4 startups, $60M raised, 1 exit. Codes every day, so the conversation stays technical. You own the system. Decisions happen in hours, together.𝗧𝗵𝗲 𝗯𝗮𝗿• You have shipped agentic systems that ran unattended in production, with real users or real money, and you can describe what broke when many agents shared state.• You draw a deliberate boundary between deterministic code and model judgment, and you can say why a decision belongs in code.• You treat evaluation as engineering: golden sets, CI gates that block a degrading prompt or model change, live outcome metrics.• You treat inference cost as a first-order concern and have a before-and-after to show.• TypeScript and Postgres fluency, and the temperament to own a system end-to-end.Stack today: TypeScript, Postgres and pgvector (Supabase), Inngest durable functions, Mastra, Claude, Langfuse. Model-agnostic by design. You will have strong opinions about what stays.𝗧𝗵𝗲 𝗱𝗲𝗮𝗹Founding equity and genuine ownership: you define the engine's architecture and hold a real stake in it. Equity-forward. Cash compensation, location, and remote arrangement open to discussion.𝗛𝗼𝘄 𝘁𝗼 𝗮𝗽𝗽𝗹𝘆Send the agent system you are proudest of, what broke when you scaled it, and whatever shows the real you (GitHub, X, LinkedIn, Substack). Generic applications get ignored.fabrice@govoltaire.com