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Hire a forward deployed engineer
This page is for the hiring decision. It covers how to scope the role, how placement works, what it costs and what your team should expect in the first 30 days. For what the role is and does, see our forward deployed engineers page.
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A forward deployed engineer works inside your team, close to your systems and your users, and ships production AI work rather than advice. The full description of the role is on our forward deployed engineers page. Here we cover the process of getting one.
You start with what needs to ship, not a job description. We match on the actual work: your stack, your data access, the seniority the problem needs and the timezone overlap you need. Most requests move from discovery to a shortlist within days, and placement takes two to four weeks from request to start.
The commercial model is simple. A single embedded engineer starts from $60,000/year, at the same nearshore rate as our engineer placement offer. Shorter or narrower work, such as one agent or one workflow, is scoped after a call. If the fit is wrong, the engineer is replaced at no extra cost inside the first 90 days.
Teams with a defined AI build and no one to own it
The use case is chosen. What is missing is a senior engineer who ships it and stays to maintain it.
Companies that tried freelancers and lost continuity
Full-time and embedded means the knowledge stays in the team.
Leadership that needs a reference implementation
One engineer proves the pattern in a live team, and other teams follow it.
Five steps, most of them fast, because the slow part of hiring is usually the search and not the decision.
Scope the work
Day 1 to 3Describe what needs to ship, the stack and the access the engineer will have.
DeliverableOne-page role brief
Shortlist
Week 1We match on the work and share profiles you can interview.
DeliverableShortlist with rationale
Interview and select
Week 1 to 2You meet the candidates and pick. We flag risks we see honestly.
DeliverableSelected engineer
Onboard
Week 2 to 4Access, context and a first task agreed before day one.
DeliverableOnboarding checklist
Review at day 30
Check delivery against the brief and adjust scope. The 90-day replacement guarantee still applies.
DeliverableDay 30 review
Typical timeline
Two to four weeks from request to start
Stack we build with
TypeScript · Python · Claude · OpenAI · n8n · PostgreSQL · Your existing stack
Bring a rough description of the work. We tell you honestly whether an embedded engineer is the right fit and what the shortlist would look like.
Reference AI implementation
One engineer proves a rollout pattern inside a live team for others to follow.
Support and operations automation
An engineer runs support and ops automation full-time so the core team stays on product.
Backlog across maintenance, features and AI
One engineer covering everything on the founder's list.
A shipped first task and a clear backlog, not an orientation tour.
Week 1
Access and context
Repo, tools and people access, plus a walkthrough of the systems the work touches.
Week 2
First small ship
A narrow task delivered to production or staging, to test the working relationship early.
Week 3
Backlog agreed
The next piece of work ranked with you, with the trade-offs written down.
Day 30
Review
What shipped, what is blocked and whether the scope still matches the need.
Achieved results only. Clients that have not agreed to be named are described instead.
Sage, business software
Leadership was advised on the AI rollout approach, and one embedded engineer proved the pattern in a live team, which became the reference other teams followed.
Unmuted, B2B SaaS marketing agency
A full-time embedded engineer was placed inside the team and has run GTM and internal automation work day to day since.
Orbital Eye, satellite monitoring
A full-time embedded engineer was placed inside the team, signed and running since July 2026.
Priced per project and scoped after a short discovery call, not sold as a fixed package. Cost follows the number of systems, the access model and the security requirements.
Scoped build
Scoped after a discovery call
Most engagements start with one narrow, high-value piece so you see it running in production before anything expands.
Embedded engineer
From $60,000/year
A dedicated engineer building and maintaining the work inside your team, instead of a scoped project.
Book a free call. You get a role brief and a clear next step within the week.
Book a free audit callA 30 minute call. Tell us the work, the stack and the timeline, and we tell you whether a forward deployed engineer fits.
In this call, we'll walk through your project scope, timeline, and goals - so we can both check if we're a fit. No obligation, no slide deck, just a working session.
Don't want a call? Email walid@ayautomate.com
“The team is super fast - sometimes we had to slow them down. We managed to scale the company without investing into hiring.”

Elie Salame
COO, Adstronaut.io
We've created products featured in
Walid Boulanouar
View LinkedInThis call is for teams ready to move. If that's you, pick a time.
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FAQ
Most requests reach a shortlist within days and start within two to four weeks. A typical in-house search for a comparable senior hire takes months.
A single embedded engineer starts from $60,000/year. Narrower engagements are scoped after a call. Use the FDE salary explorer and the AI team cost calculator to compare against a local hire.
We replace them at no extra cost inside the first 90 days. We also check in during onboarding so problems surface early.
What needs to ship, which systems it touches, who the engineer reports to and what access you can grant. A rough idea is enough, the call sharpens it.
Yes. That page explains the role and what it delivers. This one covers the hiring process, cost and first 30 days for someone who has already decided to hire.