G
4.9 out of 5 ★★★★★

Deployed AI Engineers
for Your Agency

You sell it, our engineers build it, you keep the margin.

25+ Actively deployed AI Engineers
working with our customers
30+ Companies scaling AI delivery
with Near engineers
Milestone

Clients
Love Us

★★★★★
Winter 2026

High
Performer

Spring 2026

High
Performer

// the problem

The delivery gap that caps your agency's growth

Client demand for AI implementation is real. Your team can feel it. But every time a project comes in, you're back to the same impossible choice: hire fast, scramble for freelancers, or turn the work away.

You can't scale a service line on a bench you don't have.

  • ×AI engineers are hard to find — long hiring process, and when client work slows you're carrying the cost
  • ×Inconsistent freelancers — unreliable availability, variable quality, and you're vetting them yourself on every project
  • ×Turning work away — and a competitor delivers it instead
  • ×No dedicated bench — every new project means recruiting from scratch
  • ×Senior team stretched across delivery and sales with no dedicated build capacity

// the margin

$70/hr your cost
$150/hr billed to client
=
$80/hr margin

That's a working margin you control. No recruiting overhead, no bench carry cost between projects, no freelancer risk.

// how it works

How it works

1

30-min call with one of our engineers

Not a sales call. Walk us through the client project — the work, the stack, the timeline. The engineer scopes what needs to be built and tells you exactly how they'd staff and approach it before you commit to anything.

Free
2

We scope the project together

The engineer maps out what gets built, what it connects to, and what a realistic build plan looks like. You get a clear picture of the deliverable — and confidence to go back to the client — before any hours are spent.

3

You buy a package of hours

No long-term commitment. Most agencies start with a 40-hour block — enough to get a working deliverable shipped and in front of the client.

Pay as you go
4

Your engineer embeds, under your brand

Starts in 2–3 days. Works in the client's stack, alongside your team, and delivers under your name. Everything built is yours to keep and present.

Starts in 2–3 days
// what we build

What you can offer your clients

Mkt / Creative

  • Meta/TikTok creative workflows
  • Product + review data → creative briefs
  • Creative variation generation
  • Performance feedback loops
  • Competitor ad analysis

Accounting / Finance

  • AP/AR workflows
  • Client onboarding automations
  • Internal reporting assistants
  • Centralized knowledge bases
  • SOP and account status search tools
  • Spreadsheet and data cleanup workflows

Ops

  • Ops workflow automations
  • Patient/member support assistants
  • Data and reporting workflows
  • AI agents for repetitive admin tasks
  • Integrations across CRM, EHR, support, and internal systems
  • Support ticket summarization
  • AI knowledge bases

Sales

  • CRM hygiene and duplicate cleanup workflows
  • Lead routing and sales handoff automations
  • Forecast dashboards and deal risk alerts
  • Account enrichment and stale deal detection
  • Pipeline stage leak detection
  • Salesforce/HubSpot automations across GTM tools
  • Sales interaction analysis

Why Our Clients
Choose Near

Talk to one of our Engineers
Near engineers across Latin America

Pre-vetted, highly trained engineers.

We leverage our local market expertise across Latin America to identify and screen the best AI engineering talent. Every engineer is vetted for technical depth, communication, and autonomy — with a proven track record to back us up.

// vs alternatives

Four ways agencies try to staff AI delivery. One that ships.

Full-time AI hire

$150K–$180K/year

You need a full project pipeline to justify the cost. Most agencies don't have that consistency yet.

Near

Start at a 40-hour package. Pay for hours worked.

Start next week. Add engineers as projects come in. Stop when they end.

Freelance AI engineers

Availability gaps, inconsistent quality

Unreliable mid-project. You're vetting them yourself on every engagement. One bad hire damages the client relationship.

Near

Vetted engineers, backed by Near

We manage quality and continuity. If something's off, we fix it — not you.

Building your own AI practice

6–12 months before you're credible

Hiring, training, and establishing proof takes time you don't have when clients are asking now.

Near

Credible AI delivery from day one

Trained engineers deployed under your brand. You skip the build phase and go straight to delivery.

Turning work away

A competitor delivers it instead

Every project you pass on is a relationship your competitor gets to deepen.

Near

Say yes to every AI project

You bring the client. We staff it. You keep the margin and the relationship.

// common questions

FAQ

What have other agencies built with Near engineers?+

Creative automation pipelines, client onboarding workflows, ops and sales automation, AI-powered reporting tools, and internal knowledge bases. Most agencies start with the workflow that's creating the most friction on an active client project — or the one they keep having to turn down.

Does the engineer work under our brand, or as Near?+

Under your brand. Your clients interact with your team. The engineer is embedded in your delivery workflow and presents as part of your team. Near stays in the background.

What does the engineer vetting process actually look like?+

Every engineer goes through Near's technical screening before they're placed. We test for engineering fundamentals, AI and automation tooling, and the ability to work independently on ambiguous problems — not just follow a spec.

Can we stop anytime? What are the commitment and package options?+

You buy a package of hours based on what you need. There's no long-term contract or retainer. Use the hours, see what gets built, and decide from there. Most agencies run multiple packages across different client projects.

What's the average engineer background — experience level and tech stack?+

Our engineers have several years of software and automation experience, including the AI and workflow automation layer — Claude, ChatGPT, n8n, Make, Zapier, and Python. They're experienced across the workflows agency clients are asking for: creative automation, accounting, ops, and sales. No ramp time, no quality surprises.

Can clients hire the engineer full-time after a project?+

Yes. If the engagement goes well and either you or the client wants to bring the engineer on full-time, that option is available. A number of our placements have converted that way.

// what clients say about near engineers

What teams say after hiring a Near engineer

AI Engineer

The engineers Near provided are incredibly high quality. I worked at Google for 10 years, where the bar for talent is very high, and I would say the people I placed through Near are comparable to the people I worked with at Google.

Ashley Black

Ex-Head of Sales @ Google
Founder, Candid Consulting

AI Engineer

Near was a game-changer for our business. We increased lead generation by 100% with automations built by talent we hired through Near.

Sumner Vanderhoof

Co-founder & CEO
Propensity

AI Engineer

Near has allowed us to nearly double our caseload without doubling our in-office staff.

Kathy Patterson

Operations Manager
California Consumer Attorneys

Book the call. Tell us what you're trying to deliver. We'll staff it under your brand.

Talk to one of our engineers