AI Staff Augmentation

AI Staff Augmentation

Senior AI engineers on your team in days, not the months it takes to hire.

AI Staff Augmentation from Folder IT adds senior AI engineers to your existing team. Folder IT has 220+ senior engineers, more than 100 of them specialized in AI, working nearshore from Argentina in the EST+1 time zone. They embed into your stack, repos, and sprint cadence, under your technical direction. 

Most teams that reach out already have an AI roadmap and are short on people to execute it. Hiring senior AI talent in the US typically takes months. AI Staff Augmentation shortens that to days, with pre-vetted engineers who ramp up inside your environment.

Four ways to add capacity

• Size• Best for• Who directs the work
AI Engineer / ML Specialist1 engineerClosing a specific skill gapYour technical lead
Forward Deployed Engineer (FDE)1 engineerA scoped initiative owned end to endYour architecture and priorities
AI Pod (FDE-led)3 to 5 engineersSeveral AI initiatives at onceYou set direction, the FDE leads day to day
Fully Managed AI TeamFrom a few specialists to 20+A full AI functionYou set priorities, Folder IT manages day to day
Most clients start with one engineer and scale from there,
without renegotiating the engagement.

AI Engineer / ML Specialist

One senior specialist matched to your stack, reporting to your technical lead.

Forward Deployed Engineer (FDE)

A senior engineer who takes full ownership of a scoped piece of work, inside your architecture and priorities. Needs little day-to-day oversight.

AI Pod (FDE-led)

A senior team of 3 to 5 engineers led by an FDE, with Folder IT’s AI Lab available for architecture and security review.

Fully Managed AI Team

A complete team (AI/ML engineers, architects, data engineers, DevOps, QA) managed day to day as an extension of yours.

What stays with you

Architecture decisions.
The production roadmap.  
What ships and when. 

What Folder IT takes off your plate

You define the business problem.
Recruiting and hiring risk Ramp-up time. 
The search for scarce AI specialties. 

How it starts

  1. Day 1 to 2discovery call to map your stack and the gap
  2. 48 hours2 to 3 matched profiles ready for review
  3. Week 2onboarded into your repos and sprint cadence, first commit
  4. Ongoingcapacity scales up or down as the roadmap changes

Up to 55-60% savings versus US-based hiring, with transparent pricing and no hidden fees.

logo classwork

How embedded AI engineers work with product teams

When a roadmap is set and capacity is short, this is how a Folder IT engagement looks from the inside.

AI engineers inside the product team: auto-scoring for an edtech platform
  • 2026engagement under way
  • Liveteam working in the client's sprints
  • Django + Reactthe client's own stack
  • GeminiLLM at the core of scoring

The challenge

Classwork.com turns static teaching materials into interactive lessons in minutes. Teachers still had to grade open-ended responses by hand, the one part of the workload that does not scale. The product team needed senior AI engineering capacity to ship automatic scoring without stopping the rest of the roadmap or waiting months for hiring. 

What Folder IT provided

Folder IT engineers joined the Classwork team and work inside its stack, repos, and sprint cadence. They are building the AI scoring flow: when a student submits an answer, the system scores it and generates structured feedback. Teachers review and refine the AI’s suggestions before sharing them, so they stay in control while grading time drops. The roadmap extends to instant AI feedback for students at the moment of submission and deeper personalization. 

Results

  1. AI scoring shipping inside the product, with no hiring cycle and no ramp-up delay.
  2. Teachers move from grading from scratch to reviewing suggestions.
  3. Capacity that scales as the roadmap grows.


Tech: Django, React, Gemini, LLM

Frequently asked questions

AI Staff Augmentation adds senior AI engineers to your team. They work under your technical direction, inside your tools and processes, and are matched and onboarded in days. 

Folder IT staffs AI engineers and LLM specialists (RAG, agents, fine-tuning), machine learning engineers, computer vision and generative media engineers, MLOps and AI platform engineers, data engineers, cloud and DevOps engineers, software architects and technical leads, QA engineers, Forward Deployed Engineers, and AI-augmented full-stack developers. Folder IT also staffs Salesforce engineers (Agentforce) and ServiceNow engineers (Now Assist).

Speed and risk. Direct hiring in AI typically takes months and carries recruitment cost and ramp-up time. Folder IT provides matched senior profiles within 48 hours, already fluent in modern AI stacks. 

Folder IT clients typically save up to 55-60% compared with US-based hiring. Pricing is transparent, with no hidden fees, and depends on the roles and the size of the team.

An AI Pod is a senior team of 3 to 5 engineers led by a Forward Deployed Engineer, for cases where one specialist is not enough. It is one of four ways to add capacity under AI Staff Augmentation, and it works under your direction.

Usually yes. An FDE is a senior engineer who owns a scoped piece of work end to end, inside your architecture. When the workload needs more than one person, it becomes an AI Pod. 

Your technical lead directs the work day to day. In a Fully Managed AI Team, Folder IT manages the team day to day as an extension of yours, with you setting priorities.

Matched profiles are ready within 48 hours, and engineers are working inside your environment by week two, with a first commit at around two weeks.

Yes. Many clients start with one engineer, add more as the roadmap grows, and scale back when it slows.

In Staff Augmentation, your team owns the architecture and Folder IT supplies the engineers. In AI Project Development, Folder IT owns the architecture and builds the system through to production. 

Ready to move faster on AI
without the hiring overhead?

Get 2 to 3 matched senior profiles within 48 hours.

POWERED BY FOLDER, TRUSTED BY US

Have a defined AI project you would rather hand off?

Not sure yet what to build?

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Software Developers
from Argentina

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for expert solutions


«Outsourcing is too risky
and unreliable»


«Outsourcing is too risky
and unreliable»


«Outsourcing is too risky
and unreliable»

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