Add a senior AI engineer in two weeks, not two quarters.
They join your Slack, your standups and your codebase. You keep full control of the roadmap — and can scale the engagement up or down as the work changes.
What AI staff augmentation actually is.
It's a hiring model, not an outsourcing arrangement. Instead of handing a project to an outside team or spending months on a full-time hire, you add an external AI specialist directly to your existing team — inside your workflow, under your direction, for exactly as long as you need them.
How it works
Embedded integration
Your specialist works inside your daily workflow — same Slack, same standups, same sprint, not a separate team on a separate channel.
Direct control
You set the sprint goals and assign the work. Your roadmap and architecture decisions stay entirely yours — we don't run the show, your team does.
Flexible scaling
Bring in a machine learning engineer or data scientist for exactly as long as the work requires, then scale down without a layoff conversation.
The AI talent shortage.
Enterprise AI initiatives stall because hiring senior engineers takes quarters, not weeks. Building an internal team from scratch delays time-to-market and balloons operational overhead before a single line of production code ships.
On-demand AI engineers embedded in your team.
Speed
Hiring a senior AI engineer the traditional way takes a quarter. An augmented specialist can be committing code within one to two weeks.
Cost savings
No recruiter fees, no benefits overhead, no months of onboarding lag — you pay for the work, not the hiring process around it.
Skill access
Bridge a local talent shortage instantly with specialists who already have the niche AI/ML experience you can't find nearby.
Find your specialist.
Two quick questions — then we'll match you to the right person.
What specific AI skill or role do you need?
Is your goal to speed up an existing product, or build a new feature from scratch?
Pick one option from each question above to continue.
Book a DemoSenior AI talent, embedded instantly.
Specialized engineering capabilities, matched to your stack.
How we integrate with your team.
Discover
We map the skill gap, your stack and your sprint cadence in a short scoping call.
Match
We shortlist specialists against your exact tech stack and domain, not a generic resume pool.
Onboard
Your specialist gets repo access, joins standups and ships their first PR inside two weeks.
Ship
They work your sprints under your direction, with full transparency into velocity and output.
Scale
Extend, add specialists, or wind down the engagement as the work changes — no long-term lock-in.
Works within your existing developer tools.
Engineering augmentation case studies.
A Series B startup shipped its first production RAG agent in three weeks with one embedded engineer.
An embedded MLOps engineer cut model deployment time across a claims platform.
A product team absorbed a six-month AI roadmap without opening a single new headcount req.
Ready to deploy AI Staff Augmentation?
A 30-minute working session with our solutions team is the fastest way to see how this fits your roadmap.