Forward Deployed Engineer
About the role
FDEs 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 do
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
What success looks like
Multiple agents in production across clients, with measurable business impact
Customers point to specific KPIs that moved because of your work
Customers treat you as a trusted operator and want you in the room
Process improvements you drove are visible in the customer's day-to-day, not just in the agent
Transformation Managers want you on their hardest accounts
Accounts you own expand because the relationship and the results are both there
Each deployment is faster than the last because you've left behind reusable assets
Who you are
Experience
5+ 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 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. 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.
Skills
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
Mindset
Bias to ship
Comfortable with ambiguity, half-built systems, and changing requirements
Low ego, high standards
Customer-obsessed. You build trust by being useful, not by being polished
Commercially aware and able to help customers believe in what you're building
Honest about what's working and what isn't
What we offer
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
We respect your time and aim to move fast:
Discovery call with a senior teammember (online, 30 min). We'll talk about you, how you think and whether there's mutual fit.
Remote task (async, time-boxed, ~1 hour). Build a small product end-to-end. Not LeetCode.
Deep dive to the remote task with hiring manager (online, ~1 hour). We'll go deeper on your experience, system design, product thinking, and collaboration. No trick questions — we want to see how you think and build.
On-site trial day (1 day). Ship something small to production with us and see how we work together. Fully compensated.
Founder interview (online, 20min)
We're not looking for perfection. We're looking for someone who can walk into a customer's operation, figure out what matters, fix the process, ship the agent, and turn AI into outcomes the business can feel.
