From 1 month
Engagement
ENGINEERING
Forward deployed engineer: definition and engagement model
A forward deployed engineer is a senior engineer employed by Neo Vision who works inside your team. They use your repositories, join your product cadence, ship against your roadmap and document each decision for your team.
Shipping in ~1 week
Ramp
1210
Playbook
200+
Products shipped
How the forward deployed model works
The title describes where the engineer works and who employs them. They sit with the customer's product team, use its repositories and join its planning rhythm. Neo Vision remains responsible for employment, technical support, peer review and replacement cover.
A conventional project starts from a fixed statement of work and ends when the agreed scope is accepted. A forward deployed engagement starts from a business outcome. The work changes as the engineer learns what the systems and users can support.
The model works when the engineer can merge code, observe production, make architecture decisions within an agreed boundary and talk directly to the people who use the system. Without that authority, the role becomes ordinary staff augmentation.
This is for you if
Sound familiar?
The roadmap keeps slipping
Your team is good, but stretched. Priorities slide because there is no one free to pick them up.
Hiring is too slow
You need senior engineers shipping this quarter, but a good hire is months of searching, interviewing, and onboarding.
AI work keeps stalling
You have AI features you want built, but no one with the time or the production experience to own them end-to-end.
Agencies stay at arm's length
You have been burned by vendors who never learn your business, hand off late, and leave you with code no one understands.
Hiring, contracting or using an embedded team
Choose an in-house hire for a role you expect to need for several years, provided the roadmap can wait through recruitment. An independent contractor suits a defined technical gap with a clear owner on your side. Work that must start sooner, change during delivery and retain peer review is better suited to an embedded team.
The cost comparison depends on seniority, local employment costs and the management capacity already available. Compare the full annual cost of the hire with the vendor's retainer, then price the months lost before either option starts shipping.
| Option | Best fit | Main trade-off |
|---|---|---|
| In-house hire | Long-term ownership of one product | Recruitment time and fixed annual cost |
| Independent contractor | A defined technical gap | Continuity depends on one person |
| Embedded engineer or pod | Work that must start quickly and change as the team learns | Continuity depends on contract design and documentation |
A senior engineer who ships like part of your team.
01
Production code, from week one
Senior engineers design, write, review and ship code in your stack from the first sprint.
02
Embedded in your team
They join your standups, repository and tools, then work directly against your roadmap.
03
Software or AI, whatever the work needs
Full-stack product and platform, or production AI features, agents, RAG, and evals, handled by the same senior hands.
04
They learn your business
Context compounds over time. By month four, the engineer understands the decisions behind the code and can move faster than they did in month one.
05
Senior judgment in the room
They make architecture calls and catch expensive mistakes before they ship.
06
A clean handoff, code you keep
Your repos, your infrastructure, documented as we go. When the embed ends, your team owns everything, with no lock-in.
From first call to shipping code in about a week.
01.
Scope
Week 1
We learn your roadmap, stack, and team, and agree what the embedded engineer owns first.
02.
Embed
Week 1
They join your repo, tools, and standups, and start shipping in your stack, with no long ramp.
03.
Ship
Ongoing
Production code at your cadence, reviewed and merged like any member of your team.
04.
Scale or hand off
Ongoing
Add engineers as the work grows, or wind down with a clean handoff when you are ready.
Transparent pricing. Monthly retainers.
Embedded Engineer
Start here
Monthly retainer
One senior engineer embedded with your team, shipping to your roadmap in your stack.
Embedded Pod
Most popular
Monthly retainer
A small senior team, two to three engineers, for bigger roadmaps or a full AI build, with one point of contact.
What this looks like in production
MHT Experience used an embedded AI team to rebuild a bidding process that took three to four weeks. Proposal turnaround fell by 87%, and the system has handled €13.2 million in bids.
For Camelot, Neo Vision built the back office behind 1.4 million guests a year. It reconciles point-of-sale and card data before sending each balanced close into DATEV.
Common questions.
You get a senior engineer who ships from week one, backed by Neo Vision's reviewers and delivery process. The vendor carries recruitment and continuity risk.
Need senior engineers shipping next week?
Tell us where your roadmap is stuck. We respond within 24 hours with who we would embed and how we would start.
Currently accepting engagements for Q3 2026 · Response within 24 hours