FERMÀT
Overview
We are seeking a product-minded Software Engineer to help build 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). 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; comfortable 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). Competitive salary + equity package Comprehensive health, dental, and vision insurance for you and all your dependents. 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!) Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Software Development
#J-18808-Ljbffr
We are seeking a product-minded Software Engineer to help build 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). 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; comfortable 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). Competitive salary + equity package Comprehensive health, dental, and vision insurance for you and all your dependents. 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!) Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Software Development
#J-18808-Ljbffr