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Forward Deployed Engineer embedded with a client engineering team

Forward Deployed Engineers

Senior engineers embedded in your operation.

Forward Deployed Engineers close the gap between your value creation plan and the technology delivering it. Software builds, AI infrastructure, MCP Servers, agents, integrations, and platform work inside your environment.

Tell us what you need

The Real Cost

Most teams do not have a technology problem. They have a delivery problem.

You have the stack. You have the team. You have bought the tools and signed the contracts. But the results do not show up.

That is not a technology failure. Research across 50,000 IT projects finds that 70% of digital transformations fall short, and the primary cause is never the code. It is the structural separation between the people who understand the business and the people building the systems that serve it.

Every handoff loses something. Requirements get flattened. Context gets dropped. Decisions that should take minutes take weeks. By the time the build reflects the original problem, the problem has changed.

Months learning the codebase, the domain, and the deployment pipeline before real output begins

Critical context trapped in tribal knowledge that slows every new hire

AI pilots that burn tokens without becoming production workflows

Initiatives lose momentum while teams wait for engineers to ramp

The gap between hiring and real impact stretches to six months or longer

The FDE Model

What a Forward Deployed Engineer actually does

An FDE embeds directly with your team. Your repo, your Slack, your standups, your sprint ceremonies. Not in a separate office. Not on a parallel workstream.

They learn how your business works, not from a requirements document, but from being inside it. How decisions get made. Where work stalls. What the system needs to do that no one has written down yet. Then they build it.

For AI work, that means MCP Servers, connectors, agentic workflows, internal tools, and coding systems configured to your stack. Every engagement is designed to end: FDEs document, pair program, and transfer knowledge so your team owns the capability when they leave.

Not Staff Augmentation

What makes this different

The standard engagement

The FDE way

Send a senior engineer and hope for the best

Match an engineer who has done this exact work before

Ramp time is the client's problem

Ramp time is built into the engagement model

Execute tickets to a spec

Shape the spec, then execute it

Knowledge walks out when the engagement ends

Knowledge transfer is built in from day one

Measured by hours billed

Measured by outcomes shipped

AI Deployment Company

From brief to working AI in weeks.

01

Scope

We map the real requirement against your team architecture, stack, and delivery gaps. Not keywords on a job description.

02

Source

A senior FDE with direct experience in your domain, platform, and type of problem.

03

Deploy

The FDE joins your repos, your standups, your sprints. Shipping production work in the first week, not observing from the sidelines.

04

Transfer

Documentation, pair programming, and training built into every engagement. Your team owns what was built and knows how to extend it.

“Domain practitioners evaluate candidates the way you would.”

How You Bring One On

FDEs fit the commercial model your work requires.

A specialist you manage, or an embedded team that solves the whole problem.

Deployed Specialists

You know what you need. We find the right FDE, pre-vetted against your actual requirements, and you manage them directly.

Best when you have the infrastructure to onboard and direct a senior individual contributor.

Embedded Teams

You are standing up a new capability and need more than one person. We source the right FDEs against your requirements, with delivery oversight to keep things on track. When you have a defined outcome rather than a set of roles, we embed a pod, run the full methodology, and transfer the capability to your team. Consulting-grade delivery without consulting-firm pricing.

Best when the problem is bigger than a single hire and you want a pod to go solve it.

Not sure which fits? Tell us what you need and we will tell you straight.

Who This Is For

Who this is for.

Engineering Leaders at Growth-Stage Companies

Your roadmap is approved. Your team is strong. But every initiative that requires new capability takes six months before it produces anything. You need senior engineers who can operate from day one, not orient for a quarter. FDEs deliver working systems while your permanent team stays focused on the product.

PE Portfolio Companies Post-Acquisition

Day 30 post-close. The operating thesis requires better data, faster reporting, and systems that did not exist at the company you just bought. You do not have 90 days for a consulting engagement. An FDE embeds, maps the operating model, and builds the infrastructure that makes the investment perform.

Companies Running Platform Migrations

You bought the new platform. The vendor delivered the base install. The business still is not getting value from it. An FDE who has shipped on this platform closes the gap between what the tool does and what your business needs it to do, without restarting discovery.

The work looks different every time. The result is the same: the people who understand your problem are the same people solving it.

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The people who understand your problem should be the ones solving it.

Tell us the value creation plan. We will map the FDE capability required to ship it.

Tell us what you need
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1“Convertible to full-time” describes an option that may be available on certain engagements. Any conversion is subject to a separate written agreement, eligibility, and applicable terms; Elios does not guarantee conversion.

2 Source: RAND Corporation, 2024, The Root Causes of Failure for Artificial Intelligence Projects and How They Can Succeed.

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