Forward Deployed Engineer (US Based)

Forward Deployed Engineer (US Based) LocationNew York CityEmployment TypeFull timeLocation TypeRemoteDepartmentGo to MarketForward Deployed EngineerAbout the roleFDEs are how Duvo brings AI to life inside our customers. You sit at the front line, map their workflows on the Duvo platform, improve the underlying processes, and turn the result into running agents that deliver tangible business impact. Scoping, build, debug, handover, expansion. You own the customer outcome end to end and you own the relationship that goes with it.You won't write the core product. You will write the glue: integration scripts, agent configurations, data transformations, prototypes, whatever it takes to get an agent running against a customer's actual systems. You'll spend real time inside their stack and inside their team.If you like the messy middle between AI, process, and customer, this is the role.You will be deployed directly with our clients, mostly in onsite/hybrid mode of work, you will travel a lot.What you'll doEmbed with customers from kickoff through go-live and beyondMap customer workflows directly on the Duvo platform and decide what's worth automating, what's worth fixing first, and what's blockedImprove the underlying processes where it matters. Don't automate broken flows, redesign themTranslate business logic into agent behavior: actions, decision rules, exception paths, fallbacksConfigure and ship agents against real customer systems (ERPs, portals, spreadsheets, email, custom tools)Write integration code, scripts, and prototypes when the situation calls for itDebug live agents in production environments and iterate quicklyBuild and own the working relationship with customer stakeholders, from operators to sponsorsRun working sessions, hold your own with technical counterparts, and earn the right to push backMake AI real for the customer. Move them from pilot energy to measurable business outcomesCapture reusable patterns, templates, and runbooks so the next deployment is fasterSend recurring workflow patterns back to Product and Engineering as real signalWhat success looks likeMultiple agents in production across clients, with measurable business impactCustomers point to specific KPIs that moved because of your workCustomers treat you as a trusted operator and want you in the roomProcess improvements you drove are visible in the customer's day-to-day, not just in the agentTransformation Managers want you on their hardest accountsAccounts you own expand because the relationship and the results are both thereEach deployment is faster than the last because you've left behind reusable assetsWho you areExperience5+ years in roles where you've shipped against real customer environments. We're prioritizing AI-native candidates: people who have been building, deploying, or operating AI and agentic systems in customer-facing settings, not adjacent to them.Likely backgrounds:Forward-deployed engineering or solutions engineering at an AI-first companyApplied AI / ML engineering with direct customer exposureTechnical consulting on AI or automation projects where you owned delivery and the client relationshipOperations or product roles where you've built and shipped AI-powered tooling against messy real-world systemsRetail, e-commerce, or CPG background is a strong plus. Fluency in any operational domain (supply chain, procurement, category management, merchandising, finance ops, supplier management, warehousing) helps you ramp faster on customer accounts. What matters most is that you can pick up a new business quickly, see how to improve it, and build something with AI that actually works.SkillsHands-on with modern AI tooling: LLMs, agent frameworks, prompt engineering, evals, MCP, retrievalStrong systems thinking and engineering judgmentProcess design instinct. You can spot waste, redundancy, and bad handoffs and propose something betterComfortable in code-adjacent territory: SQL, Python or JS scripting, APIs, JSON, webhooks, light data...