Forward deployed engineers to get AI working in your business.
We're opening this to a small number of teams first. Senior engineers join your team, work with you to get an AI project live, then hand it over. Remote-first on your working day, and on site when the work needs it.
- For
- Growing companies adopting AI
- Engagements
- A fixed-scope deployment or a small pod
- Status
- Early access, limited places
- Response
- We reply within a few hours on working days
The hard part of AI is the last mile.
A demo is easy. Getting a model to work with your real data, your systems and your people is where most projects stall: an MIT study found about 95% of enterprise generative-AI pilots showed no measurable impact on profit and loss.
Hiring your own forward deployed engineer takes months, and in the US the median base salary is around $174,000. Gigson matches you with a senior engineer who has done this before, working on your day, for the length of the deployment.
What our forward deployed engineers do
Discovery
Sit with the people who will use it, map the workflow and the data, and agree what "live" means.
Integration
Connect models and agents to your existing systems, APIs and messy data.
Build
Write production code for LLM features, agents, search and automation, in your repositories.
Evaluation
Set up tests and evaluations you can rerun, so quality is measured rather than assumed.
Launch
Put it in front of real users, watch how it behaves, and fix what the pilot didn't show.
Handover
Runbooks, walkthroughs and documentation, so your team can run and extend it.
Who it's for
Stuck between pilot and production
You have a proof of concept that impressed people, and no one with the time or experience to make it reliable, integrated and used.
Know what you want built, no one to build it
You can see where AI would help your business, but your team is busy or doesn't have the skills, and a full-time hire would take months.
Two ways to engage
Both are scoped and priced after a short call, and both end with a handover your team can run.
Not every good engineer is a good forward deployed engineer.
- 01
Shipped it before
Production LLM, agent or integration work they can walk us through, not side projects.
- 02
Talks to people
Runs a discovery session, explains trade-offs to non-engineers and pushes back when they should.
- 03
Judgement with messy requirements
Turns a vague brief into a scope, and knows what to cut to get something live.
- 04
Senior only
Engineers who have led delivery before and can work without a manager beside them.
Your code and data stay yours
IP assigned to you
Everything built for you belongs to you.
NDA from day one
Signed before any work or data is shared.
Work in your repositories
Your accounts, your access controls, your audit trail.
Questions, answered
- What does early access mean?
- We're starting with a small number of teams so each one gets senior attention while we grow the service. Request access, tell us what you want to build, and we'll talk it through with you.
- How is this different from hiring a consultant?
- A consultant advises and bills time. A forward deployed engineer writes the code, ships it inside your systems and is accountable for it working.
- Do your engineers work on site?
- They are remote-first, working in your Slack, repositories and calls, and they visit your team in person when the work needs it.
- What hours do they work?
- Our engineers are on UTC+1 all year, which covers the UK, European and Nigerian working day and overlaps with US East Coast mornings.
- How much does it cost?
- We price each engagement after a short call: a fixed fee for a fixed-scope deployment, or an agreed rate for a pod.
- How quickly can you start?
- We're taking on a small number of early-access teams. We reply to every request within a few hours on working days and agree timing together on a call.
Request early access.
Tell us what you want to build. We're working with a small number of teams first. We reply within a few hours on working days and set up a call if it's a fit.