FERMÀT is the AI native commerce platform that optimizes shopping experiences, leading to best-in-class shopper engagement and conversion. We help brands transform clicks into conversions with dynamic, personalized shopping experiences-built and optimized in minutes.
Backed by VMG, Bain Capital Ventures, Greylock, QED, and named The Information's #1 commerce startup, we're a 70+ person team based in SF, Austin, NYC, and Bangalore. As a fast-growing Series B company, we're building the infrastructure for the future of online retail-and we're just getting started.
About the Role :
We're searching for a productminded Software Engineer to help build out Pierre , FERMÀT's AI Agent, into a productiongrade intelligence engine that powers personalization, automation, and operational insights across our commerce platform. You will design and build LLMpowered features endtoend : orchestration (tools / agents / functioncalling), retrieval, evaluations and productionization (APIs, observability, cost / latency). 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.
What You'll Work On :
- 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, functioncalling, 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 firstparty 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.
What We're Looking For :
4+ years of professional software engineering experience.12-18 months building and shipping LLMpowered products (from prototype to GA) with meaningful customer adoption. Please include links, demos, or a brief writeup if possible.Strong Python and TypeScript experience. Solid systems design and API fundamentals.Handson with LLM APIs, embeddings, vector databases, retrieval patterns and agent / tool design.Pragmatic prompt engineering and prompt / version controlProduction chops : cloud (GCP), containers, CI / CD, monitoring / alerting; comfort owning services in prod.Product sense, clear communication, and a bias to ship.Nice to have
Ecommerce, recommendations, ranking or ads experience.Experience with streaming responses, Streamable HTTP / SSE / WebSocket patterns for real-time AI interactions.Realtime personalization and event pipelines (e.g., Kafka, pub / sub).Frontend (React) skills for rapid prototyping of AI UX.Experimentation / analytics tools (e.g., PostHog or similar).Benefits
Competitive salary + equity packageComprehensive health, dental, and vision insurance for you and all your dependents.Retirement benefits :US : 401(k) plan with 4% matching
India : Provident Fund with 12% matching4 months of paid parental leaveUnlimited PTO policy (with minimum 5 days PTO / quarter!)