FERMT
FERMT 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 product-minded Software Engineer to help build out
Pierre , FERMT'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). 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, 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. What We're Looking For: 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. Nice to have
E-commerce, recommendations, ranking or ads experience. Experience with streaming responses, Streamable HTTP/SSE/WebSocket patterns for real-time AI interactions. Real-time personalization and event pipelines (e.g., Kafka, pub/sub). Front-end (React) skills for rapid prototyping of AI UX. Experimentation/analytics tools (e.g., PostHog or similar). Benefits Competitive salary + equity package Comprehensive 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% matching
4 months of paid parental leave Unlimited PTO policy (with minimum 5 days PTO / quarter!)
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 product-minded Software Engineer to help build out
Pierre , FERMT'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). 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, 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. What We're Looking For: 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. Nice to have
E-commerce, recommendations, ranking or ads experience. Experience with streaming responses, Streamable HTTP/SSE/WebSocket patterns for real-time AI interactions. Real-time personalization and event pipelines (e.g., Kafka, pub/sub). Front-end (React) skills for rapid prototyping of AI UX. Experimentation/analytics tools (e.g., PostHog or similar). Benefits Competitive salary + equity package Comprehensive 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% matching
4 months of paid parental leave Unlimited PTO policy (with minimum 5 days PTO / quarter!)