Forward Deployed Engineer

🕒 vor 3 Monaten

🗽 New York – Remote

🗽 New York – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

👷🏻‍♀️ Ingenieur

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duvo.ai

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11 - 50 Mitarbeiter

🤖 Künstliche Intelligenz

☁️ SaaS

🏢 Unternehmen

Artificial Intelligence • SaaS • Enterprise

duvo. ai ist eine No-Code AI-Automatisierungsplattform, die persistente KI-Agenten erstellt, um End-to-End-Geschäftsabläufe über Webanwendungen, Legacy-Portale, E-Mail, Telefon und Datensysteme auszuführen. Sie ermöglicht Teams, Prozesse in natürlicher Sprache zu beschreiben, verbindet sich über APIs oder einen sicheren Browser mit Tools, und führt geplante oder ereignisgesteuerte Aufträge aus, um Aufgaben zu erledigen, Systeme zu aktualisieren und Nachweise zu erzeugen – alles mit Sicherheits- und Prüfstandards auf Unternehmensniveau. duvo. ai ist für Operationsteams ausgelegt, die manuelle, sich wiederholende Arbeiten durch automatisierte Durchführung im großen Umfang ersetzen möchten.

Beschreibung

• 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

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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