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.

Practice this interview

Free · a live voice mock calibrated to this exact role

Start the mock interview

What this interview tests

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

Common question themes

Walk through an agentic workflow you built end-to-end using ReAct or Plan-and-Execute

How would you design an evaluation framework to measure agent accuracy, safety, and latency

Describe translating an ambiguous customer business problem into a technical spec with success criteria

How do you make an LLM agent reliable, observable, and auditable for a regulated customer

Tell me about a time you had to flex into an unfamiliar technical area (e.g. frontend) to unblock a project

How do you lead a technical discussion with skeptical enterprise engineering stakeholders

How candidates describe it

Real Forward Deployed Engineer interview stories — retold from candidates' public write-ups, with sources.

Google · L3 Software EngineerOffer

Google L3 software engineer interview: phone screen, four coding rounds, and the Googleyness round

A candidate with two years of experience went from recruiter outreach to offer over about four months. The onsite was four 45-minute coding rounds — three of them featuring binary trees — and one round turned into a 25-minute chain of follow-ups about approximating an optimal solution at scale.

Interviewed June 2020 · Bangalore, IN

Google · L4 Software EngineerNo offer

Google L4 Software Engineer Interview: Eight Rounds, No Offer

An L4 Software Engineer candidate went through two phone screens, three onsite rounds, a culture conversation, and a team-matching call with a Google hiring manager, then watched the process stall for about a month and a half over a tightened experience requirement before an added extended round ended without an offer.

Interviewed February 2024 · Not specified

Google · L5 Software EngineerNo offer

Google L5 software engineer interview: phone screening, three onsite rounds, system design, and a late rejection

A candidate interviewing for an L5 role went through a phone screening, three onsite coding rounds, a mobile system design round, and a Googleyness and Leadership round. Two of the four technical rounds went poorly by the candidate's own assessment, and after roughly two months of silence the recruiter reported that the role had been closed.

Interviewed January 2023 · Not specified

View the original posting

All Cohere interviews