AI-Ready Staff Augmentation
Add developers who ship faster with AI in their workflow.
Not AI engineers. Vetted full-stack, backend, and frontend developers fluent in Copilot, Cursor, Claude, and ChatGPT. They use AI as a tool, not a crutch. 30 to 50% faster delivery, same code quality.
40%
Avg delivery speed-up
3 days*
To first shortlist
5%
Of applicants pass vetting
200+
Engineers placed
* For common roles like full-stack. Other roles typically take 7 to 10 days.
What it is
Developers who use AI well, not AI engineers
AI-fluent staff augmentation means hiring developers who already use AI tools well as part of their daily workflow. They're not AI engineers. They're full-stack, backend, frontend, and mobile developers who ship faster because they know how to use Copilot, Cursor, Claude, and ChatGPT for code generation, refactoring, debugging, code review, and documentation. AI fluency is one of the five dimensions we vet on, alongside technical depth, communication, ownership, and cultural alignment.
If you want someone to build an AI product for you (training models, RAG pipelines, LLM integrations), look at our AI services or our ML engineering roles instead. This page is about something different: regular developers who happen to be 30 to 50% faster because AI is part of how they work.
Why teams choose AI-fluent engineers
You want faster delivery without growing headcount
AI-fluent engineers ship more code per sprint, with the same review quality. The unit economics of your team get better without you having to hire two more people.Your existing team already uses AI tools
You don't want a new hire who slows everyone down by refusing to use Copilot or Cursor. We screen for fluency so the engineer fits the team's pace from day one.You want a pairing partner for senior engineers
Senior engineers who use AI well need teammates who can keep up. We send candidates who actually pair on AI-assisted work without it becoming a tutoring session.You're integrating AI tools into your dev process
Engineers who've done this before. They know what to standardize, what to avoid, and how to write team conventions for AI-assisted work that actually hold.You want someone who'll mentor your team on AI
Some of the engineers we place have led internal AI tooling rollouts at their last company. They can run sessions, set conventions, and pair with your less-fluent teammates.
Where it doesn't fit
You want to build an AI product
Different skill set. ML engineering, prompt engineering, RAG pipelines, model fine-tuning, and LLM integration are real disciplines. Look at our AI services for delivery teams or our ML engineering roles for individual placements.You need data scientists or NLP specialists
We do staff data scientists, NLP engineers, and computer vision engineers, but those are different role pages. This one is for general developers whose AI fluency compounds productivity.You don't have a code review process yet
AI-assisted development compounds whatever habits already exist on your team. If reviews are loose, AI accelerates the wrong things. Fix the process first, then add velocity.You're trying to replace developers with AI
We staff developers, not promises. If your goal is fewer engineers, AI tools alone won't get you there responsibly. We'd rather not start that engagement.
What you actually get
Six things AI fluency unlocks on your team
Not magic. Just the compounding effects of having engineers who use AI tools as a natural part of how they ship.
Faster code generation
Boilerplate, tests, refactors, and integration glue: AI handles the rote work while the engineer reviews, validates, and ships. Same code quality, less time per task.
Better debugging and reading
AI explains unfamiliar codebases, traces stack frames, and helps engineers ramp on legacy systems faster. Onboarding cycles shrink from weeks to days.
Higher-quality PRs
AI-assisted reviews catch obvious issues, missing tests, and inconsistent naming before you do. Engineers focus their cognitive budget on architecture and trade-offs.
Documentation that gets written
Comments, READMEs, ADRs, runbooks: AI drafts them, the engineer edits for accuracy. The chronic 'we'll document it later' debt actually goes down.
Strong validation skills
We vet for the ability to catch when AI is wrong. Hallucinations, made-up APIs, incorrect type signatures: a fluent engineer notices fast. AI accelerates them, not the other way around.
Workflow integration, not gimmicks
AI is a step in their workflow, not a stop. They know when to reach for it, when to skip it, and how to keep their judgment in the loop. No 'vibe coding' anti-patterns.
How we vet
Four checks for AI fluency. Most candidates fail at least one.
AI tool fluency is one of the five dimensions we vet every engineer on. Here's how we check it. The 5% who pass all five make it to your shortlist.
Tool fluency baseline
Which AI tools they use, for how long, and what for. Not just Copilot. We map their actual workflow: Cursor for refactors, Claude for architecture conversations, ChatGPT for unfamiliar APIs, etc.
Live coding with AI
We watch them solve a real-ish problem with AI on. How they prompt, what they accept blindly, what they push back on, where they catch hallucinations. The signal is in the friction.
Validation challenges
We hand them code an AI generated with a subtle bug. Can they spot it? Do they validate type signatures, edge cases, and assumptions? This is the one most companies skip.
Workflow integration
Is AI a stop or a step in their flow? Are they finishing tasks, or just generating code? We look for engineers who use AI to compound their judgment, not replace it.
The process
From brief to first commit, in under two weeks
Same engagement model as our standard staff augmentation. The difference is in who you meet: every profile is vetted on AI fluency, day one.
Step 1
Tell us what you need
Share the role, stack, seniority, and how AI tools fit your team. A 30-minute call is enough. We confirm the AI tooling on your side (Cursor team plan, Copilot Business, etc.) and what's in scope for the engineer.
- 30-minute brief, no NDA needed
- We confirm role, stack, and AI tool stack
- Account contact assigned same day
Step 2
Get a shortlist in 3 days
You receive 3 to 5 pre-vetted profiles within 3 days. Each profile shows the AI tools the engineer uses day to day, the work they've shipped with them, an English communication assessment, and a video introduction.
- AI tool fluency listed per engineer
- Sample of AI-assisted work shown in profile
- Video intros and English assessment included
Step 3
Interview your favorites
You interview the engineers you like. Pair on a real task with AI tools on. Watch how they prompt, validate, and integrate output. We don't gate-keep the format; the engineer is briefed on your stack and AI tooling first.
- AI-on pairing rounds welcome
- Engineer briefed on your stack and tools
- We sit out unless you ask us in
Step 4
Onboard in week one
Once you say yes, the engineer signs on, gets access, and joins your sprint cadence. We help with the AI conventions playbook so the engineer matches your team's standards (linting, prompt patterns, what AI is and isn't trusted with) from day one.
- AI conventions matched to your team
- Real contribution in week one
- 30-day fit check with your account contact
Step 5
Scale or replace as needed
If you want more AI-fluent engineers later, we move faster (we already know your stack, your tooling, and your AI conventions). If something isn't working, we replace within 30 days at no cost. Most clients stay 12+ months.
- Add seats month-to-month
- 30-day replacement guarantee
- Convert to full-time after 12 months
FAQ
AI-augmented developers: common questions
Related
Keep reading
What sets us apart
The five dimensions we vet on. AI fluency is one. The others are technical depth, communication, ownership, and cultural alignment. Why all five matter.
ServiceStaff augmentation
The main service. Vetted engineers join your team and follow your direction. AI fluency comes built-in across every placement we make.
AI ServicesBuilding an AI product?
Different page for that. ML engineering, RAG pipelines, automation, computer vision, NLP. If you want a delivery team for AI itself, start here.
Ready to ship faster?
Get your shortlist of AI-fluent engineers in 3 days.
Tell us the role, stack, and AI tools your team uses. We'll send 3 to 5 vetted profiles within 3 days. AI fluency vetted, no premium.