Embedded in your team
A forward deployed AI engineer works inside your business, not from a vendor’s backlog. They join your standups, learn your systems and data, and ship AI where the work actually happens.
Senior AI engineers embedded in your team, shipping AI into production on your systems. Hire one dedicated forward deployed engineer (FDE), a team with 24/7 coverage, or engineers for a single project.
A forward deployed engineer (FDE) is a senior engineer who works inside your business: on your systems, with your data and your team, until AI runs in production and keeps paying off.
A forward deployed AI engineer works inside your business, not from a vendor’s backlog. They join your standups, learn your systems and data, and ship AI where the work actually happens.
They pair with your developers, document what they build and train the people who will run it, so the know-how stays in-house after the engagement ends.
Every use case starts with a metric agreed upfront, such as hours saved, tickets resolved or revenue, and is reported against it, not just shipped.
One dedicated engineer inside your team, a team that covers your AI around the clock, or a single project from scope to production.
full-time, inside your team
One senior AI engineer working full-time in your Slack, standups and repositories, with our Claude Certified Architects reviewing the design behind them. Add roles as your use cases grow.
with 24/7 coverage
Our engineers work on four continents, so we can staff a team with true 24/7 coverage: monitoring and on-call engineers for customer-facing or revenue-critical agents that cannot wait until morning.
one use case, start to finish
A proof of concept on real data, then integration, launch and handover with documentation and training, against success metrics agreed before work starts.
Not sure which model fits?
Tell us about your business and where AI should help, and we will work out with you which model suits you best.
AI rarely fails on the model. It fails between the demo and the business, and that gap is exactly where these engineers work.
A strategy deck does not answer customers or process orders. A forward deployed engineer is measured on what runs in production.
Senior AI engineers are scarce and slow to recruit. Ours are already hired, certified and working on AI every day.
Catalogs, checkouts, ERPs and order flows are where AI pays off for an online business, and where generalists get stuck.
Messy catalogs, legacy integrations and permissions are the actual work. Engineers who sit with your team find them on day one.
Behind every engineer we deploy are 40+ colleagues, Claude Certified Architects and senior oversight, so knowledge never walks out the door.

Embedded with your team end to end: discovery, build, launch and iteration on your live systems.
Takes a defined use case to production: integrations, guardrails, testing and rollout.
A long-term engineer on your account who owns your AI roadmap and keeps improving what is live.
Designs agent architecture, MCP connections and permissions before the first line of code.
Put engineers on the project you already have, or start with an exploration where we guide you to what is worth building.
A roadmap, a stalled pilot or an agent that needs to reach production. Engineers join your team, read the code and data, and pick up the work.
Workshops on your processes and data, the use cases worth building with a business case each, then a prototype on your own data before a full build is agreed.
One free call about your goals and systems. We will tell you honestly whether to start exploring or put engineers on the work now.
Our forward deployed AI engineers work under the strictest security and privacy rules, from US federal agencies to Fortune 500 companies and regulated healthcare.
Engineers cleared for the highest security and privacy levels, inside your access controls.

Certified information security and quality management, audited every year.
Used to formal security reviews, vendor audits and ongoing oversight.
Sensitive patient and customer data, strict regulators and the paper trail they expect.

There is no challenge for which they can’t find a solution.

Will Aubuchon
Chief Executive Officer

Appreciate everyone's hard work and effort in moving us forward!

Alex Brynou
Director of Systems Architecture
Magebit developed a custom AI deal evaluator that helps us make better decisions.

Sagar Chandna
Partner & CTO
My Harvard credential in high-dimensional data analysis and machine learning taught me to trust data over demos. Every agent we ship is measured on real data, tested before it reaches a customer, and judged by the business result.
Reviewed by Arturs Kruze
Co-founder of Magebit, Forbes 30 Under 30
If you can’t find the answer you’re looking for, feel free to reach out to us. We’re here to help!
A forward deployed AI engineer (FDE) is a senior engineer who works inside your business, learning your systems and data to build AI that runs in production. Palantir coined the role, and OpenAI and Anthropic now deploy their customers’ AI the same way.
Three ways: a dedicated engineer full-time inside your team, a team with 24/7 coverage, or a project team that takes one use case to production. You can start with one and switch as your AI work grows.
Yes. Our engineers work on four continents, so a forward deployed team can monitor and fix your agents at any hour.
Hire in-house when AI is your product and you can wait months to recruit. Forward deployed engineers fit when you need production AI now, and they hand what they build to your team.
A dedicated engineer is priced by role and seniority, a 24/7 team by its size and coverage, and a project by its scope. Tell us what you need and we will propose a team and a price.
We look at what you want AI to do and the systems it needs to work with.
One dedicated engineer, a 24/7 team or a project, with the right mix of roles.
The people who will do the work, with a scope and a first use case.
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