Forward-deployed engineer building enterprise-grade LLM agents on Cohere's North platform, on-site with customers 20-40% of the time

This Forward Deployed Engineer role sits on Cohere's Agentic Platform team, building and shipping production-grade LLM-powered agentic workflows for North (Cohere's enterprise AI workspace) directly with enterprise customers in regulated sectors like finance, healthcare, and telecom. The JD asks for hands-on Python engineering, experience building and deploying RAG/agentic applications with patterns like ReAct or Plan-and-Execute, and the ability to build robust evaluation frameworks for agent accuracy, safety, and latency. Expect questions that test both technical depth (LLM stack, orchestration, evaluation rigor) and customer-facing skill (translating ambiguous enterprise problems into scoped technical specs), with 20-40% travel to client sites.

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Production-grade agentic workflow design (ReAct, Plan-and-Execute patterns)
RAG applications and LLM stack (frontier models, vector databases, orchestration frameworks)
Building evaluation frameworks for agent accuracy, safety, and latency
Translating ambiguous enterprise problems into scoped technical specs
Customer-facing technical leadership in regulated industries (finance, healthcare, telecom)
Full-lifecycle ownership from prototype to production, flexing across the stack