Senior AI engineers for fintech and insurance
We get AI past data access, permissions and security sign-off, working inside your repo until it ships.
FurqanMLOps Engineer
150+senior engineers. Not one of them is a junior.
Model to production is five stages.
We work in the three in the middle, the ones that hold everything up.
Add one engineer. Or hand the whole thing over.
Same people, same bar, same review process. The only question is whether you have engineers with room to absorb the work.
Forward deployed engineer
One senior engineer inside your team, writing production code in your repo. Reviewed by your own engineers.
Take this when you have engineers, just not AI engineers.
AI pod
A small group of senior people who own one outcome end to end. People, not agents.
Take this when there is no team to absorb the work.
Working by counts from the day your access and sign-off are in place. Those two set the calendar, and they sit with you.
You meet them before you commit.
Not a bench you never see. Names, faces and roles, shown before anything starts.
Thirty minutes, no deck.
Tell us what is not shipping. We will say whether it needs one engineer, a pod or neither. If it is neither, you hear that on the call rather than after a proposal.