Our engineers,
inside your team
Senior AI engineers who work where you work: your repository, your standups, your constraints. They arrive to solve a problem rather than to be assigned tickets, and the first change lands in your codebase in week one.
merged in your repo
before you sign anything
production software
no long lock-in
What a forward deployed engineer does
The job is the outcome, not the ticket queue. Six things that come with the person.
Sits inside your team
Your Slack, your standups, your board. Close enough to the people with the problem that nothing has to be written down twice to travel.
Ships in your codebase
Commits and pull requests in your repository, reviewed by your people, under your standards. There is no parallel version of the product living on our side.
Builds the AI layer properly
Retrieval, evaluation sets, guardrails, fallbacks and a cost model. The parts that decide whether a demo survives contact with real traffic.
Wires up the messy edges
The integrations, the data plumbing, the internal tool nobody scoped. Most of the distance between a promising model and a working feature is here.
Brings the toolkit
Eval harnesses, model gateways, prompt versioning, tracing. Things we already run on other products, so you do not pay for them to be invented again.
Leaves your team able to run it
Documentation, a walkthrough and time spent pairing with your engineers. The engagement is a success when it is no longer needed.
How it works
Team augmentation fills a seat you have already specified. This is for when the harder question is what should be built at all.
What you provide
- A problem worth solving
- Repo, data and tool access
- Someone who can unblock decisions
- A place in the team’s rituals
The embed
- One or two senior engineers, named
- Working in your repository from week one
- Evaluations before demos
- Cost and latency budgets set early
- Weekly written progress you can forward
The outcome
- Working software in production
- Code your team already reviewed
- An evaluation suite you keep
- Thirty days’ notice to stop
How an embed runs
Narrow to start, wider once the first thing is in production and behaving.
Pick one problem
A short call to agree the first thing worth solving and how you would know it worked. Broad mandates start slowly; a single problem starts on Monday.
Get access properly
Repository, data, environments and whatever your security review requires, done once and done at the start. This is usually the longest part, and it is on your side.
Ship in week one
Something small, real and merged. It proves the access works, the review loop works and we understood the problem, all before anyone has spent much money.
Widen the mandate
With one thing live and measured, the next scope is decided on evidence rather than on a roadmap written before anyone touched the data.
Step back
Pairing, documentation and a handover so your team runs it without us. We stay if there is a next problem, not because unpicking us would be painful.
Built by a team that ships
The AI layer is new. The engineering underneath it is not. These are products we designed, built and still maintain.
Fleet management
Embedded with the product team
CANGO Mobility runs telematics for commercial fleets. We worked alongside their team on the product rather than around it.
Product development · Team embedData collection at scale
A digital market study and data-collection platform built for fast, reliable research at scale.
Product development · FrontendUsable for everyone
AccessGO is a digital accessibility platform that helps businesses make their products usable for everyone.
Web development · AccessibilityHow the engagement is set up
The commercial shape matters as much as the engineering. Here is ours, in full.
Named senior engineers, introduced before you commit
You meet the people who will do the work and you can say no. Nobody is swapped out mid-engagement without your agreement, and there is no junior quietly behind the senior on the invoice.
Your rules, agreed at the start
NDAs, background checks, VPNs, restricted environments, data that is not allowed to reach a model provider. We work inside whatever your sector requires, and we would rather find the constraint in week zero than in month three.
In your rituals, plus something in writing every week
Standups and reviews on your calendar, and a short written update you can forward to whoever is paying. If a week went badly, that is what the update says.
The code and the evaluations are yours from day one
Everything lands in your repository under your licence. The evaluation suite, the prompts and the infrastructure config are yours too, because they are the part that lets you change the system later.
Monthly, per engineer, thirty days’ notice
No minimum term worth negotiating over. If we are not earning the seat, stopping should be easy, and knowing that keeps the conversation honest on both sides.
If the work is already fully specified, buy hands instead
An embed is worth paying for when the question is still open. If you know precisely what you need built, team augmentation is cheaper, and if you need someone to work out whether AI helps at all, start with an assessment.
“The team consistently delivered items on time and addressed concerns or requirements promptly. We were impressed with their attention to detail, commitment to quality, and proactive approach.”
Rich Tric · Founder, Pingzy Verified review on ClutchGot an idea? Let’s make it real.
Tell us the short version
This could be the first step towards a new and successful collaboration. A one-line idea and a finished spec are both fine — tell us the problem, the deadline you’re working to and what’s in your way.
Frequently asked questions
A senior engineer who works inside your team rather than at arm's length from it. Same Slack, same standups, same repository, with a mandate to solve a business problem end to end instead of picking tickets off a board.
Augmentation fills a seat you have already specified. A forward deployed engineer arrives with AI systems experience and the remit to work out what should be built, then build it. If you already know exactly what you need and just need hands, augmentation is cheaper and we will say so.
Usually within a week or two, and the first change is normally merged in your repository during the first week of work. Most of that lead time is your access and security review, not our bench.
Yours, in your repository, reviewed by your people, from the first commit. There is no separate environment we hand over at the end, because there is nothing to hand over.
One is a real engagement. Two is the common shape, because a pair covers each other and reviews each other's work. Beyond three it is usually a project, and a project is a better contract than an embed.
Thirty days' notice, no long lock-in. We would rather you keep us because the work is worth it than because leaving is expensive.