Senior Software Engineer, Fermat Commerce

• If you love turning ambiguous problems into shipped experiences—and you have experience taking AI products to market in the last 12 to 18 months, this role is for you
• 4+ years of professional software engineering experience
• 12–18 months building and shipping LLM‑powered products (from prototype to GA) with meaningful customer adoption. Please include links, demos, or a brief write‑up if possible
• Strong Python and TypeScript experience. Solid systems design and API fundamentals
• Hands‑on with LLM APIs, embeddings, vector databases, retrieval patterns and agent/tool design
• Pragmatic prompt engineering and prompt/version control
• Production chops: cloud (GCP), containers, CI/CD, monitoring/alerting; comfort owning services in prod
• Product sense, clear communication, and a bias to ship

Desirable

• We’re searching for a product‑minded Software Engineer to help build out Pierre,
• FERMÀT’s AI Agent, into a production‑grade intelligence engine that powers personalization, automation, and operational insights across our commerce platform
• You will design and build LLM‑powered features end‑to‑end: orchestration (tools/agents/function‑calling), retrieval, evaluations and productionization (APIs, observability, cost/latency)
• Take AI products to market: prototype quickly, instrument, A/B test, and iterate based on quality, conversion impact, latency, and cost
• Own LLM orchestration: multi-agent systems, tool use, function‑calling, structured outputs, routing, context windows, retrieval and evals
• Build evaluation & observability: golden datasets, automated evals, prompt/version management and monitoring
• Productionize reliably: scalable APIs/services, workers/queues, caching and provider failover. Optimize performance while keeping costs reasonable
• Data foundations: integrate first‑party events and catalog data; respect data contracts
• Vendor strategy: evaluate and integrate multiple model providers (e.g., OpenAI, Anthropic, Google) while tracking quality, cost, and reliability
• Raise the bar: document best practices, lead design reviews, and mentor engineers on AI patterns