Forward Deployed Engineer

🕒 May 4

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

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duvo.ai

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

duvo. ai is a no-code AI automation platform that creates persistent AI agents to execute end-to-end business workflows across web apps, legacy portals, email, phone, and data systems. It lets teams describe processes in natural language, connects to tools via APIs or a secure browser, and runs scheduled or event-driven jobs to complete tasks, update systems, and produce evidence — all with enterprise-grade security and auditing. duvo. ai is positioned for operations teams seeking to replace manual, repetitive work with automated execution at scale.

📋 Description

• Embed with customers from kickoff through go-live and beyond • Map customer workflows directly on the Duvo platform and decide what's worth automating, what's worth fixing first, and what's blocked • Improve the underlying processes where it matters. Don't automate broken flows, redesign them • Translate business logic into agent behavior: actions, decision rules, exception paths, fallbacks • Configure and ship agents against real customer systems (ERPs, portals, spreadsheets, email, custom tools) • Write integration code, scripts, and prototypes when the situation calls for it • Debug live agents in production environments and iterate quickly • Build and own the working relationship with customer stakeholders, from operators to sponsors • Run working sessions, hold your own with technical counterparts, and earn the right to push back • Make AI real for the customer. Move them from pilot energy to measurable business outcomes • Capture reusable patterns, templates, and runbooks so the next deployment is faster • Send recurring workflow patterns back to Product and Engineering as real signal

🎯 Requirements

• 5+ years in roles where you've shipped against real customer environments • Forward-deployed engineering or solutions engineering at an AI-first company • Applied AI / ML engineering with direct customer exposure • Technical consulting on AI or automation projects where you owned delivery and the client relationship • Operations or product roles where you've built and shipped AI-powered tooling against messy real-world systems • Retail, 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 • Hands-on with modern AI tooling: LLMs, agent frameworks, prompt engineering, evals, MCP, retrieval • Strong systems thinking and engineering judgment • Process design instinct. You can spot waste, redundancy, and bad handoffs and propose something better • Comfortable in code-adjacent territory: SQL, Python or JS scripting, APIs, JSON, webhooks, light data work • Familiarity with ERPs and enterprise stacks is a plus • Able to lead a working session, manage a stakeholder, push back on bad scope, and explain trade-offs without hiding behind jargon • Fluent English. Additional European languages are a plus.

🏖️ Benefits

• A small, sharp team that values ownership and candor • Real product and culture leverage from day one • Customer-facing impact: your work ships and moves the business • Competitive comp including equity • Option to trade cash for equity