Fractional AI Engineers
for Your Business
Hire pre-vetted, highly autonomous AI engineers who start in days, scope the work, and build.
working with our customers
Clients
Love Us
High
Performer
High
Performer
The hidden waste most teams don't track
Your best people are doing work that shouldn't require your best people.
Searching for answers across disconnected tools. Logging into one platform, then another, then email. Rebuilding the same reports every cycle. The manual work multiplies quietly, and nobody has time to fix it.
// the actual waste
$57,600 per year / per person
in lost productive capacity
15 hrs/week on manual tasks
× $75/hr fully loaded cost
× 48 weeks
= $57,600/year per person
That's one capable team member's productive capacity, gone. Most teams have three or four people losing the same time.
How it works
30-min call with one of our engineers
Not a sales call. They ask the right questions, listen to how your team operates, and tell you exactly what they'd build — before you commit to anything.
FreeWe discuss your biggest bottleneck
You map out where your team is losing the most hours. The engineer shares how they'd solve it — what gets built, what it connects to, what it replaces.
You buy a package of hours
Buy the hours you need and use them for the work you agreed on. Most teams start with a 40-hour block — enough to get a working tool live and see the impact before adding more.
Pay as you goYour engineer embeds with your team
They start in 2–3 days. They work in your stack, alongside your people, on the workflows you identified together. Everything they build is yours to keep.
Starts in 2–3 daysWhat Near engineers build for your teams
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
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.
Four ways teams try to solve this. One that ships.
Full-time AI hire
$150K-$180K/year
You need 40 hours a week of work for them. Most teams don't have that yet.
Near
Start at 40-hour package. Pay for hours worked.
Start next week. Add hours as you go. Stop when you want.
AI consulting firm
Months before anything ships
Scoping alone takes 2-3 months. Working software doesn't arrive until month four or five.
Near
Engineer starts in 2-3 days
They scope the work and build at the same time.
Off-the-shelf tools
Built for average workflows, not yours
They require customization you don't have engineers to do. So you work around them.
Near
Built on your stack, for your workflows
Your data stays where it is. No new platform to learn. No migration.
Doing it yourself
Unfinished projects
No time, no expertise, no dedicated person. Good ideas, no follow-through.
Near
One dedicated engineer, autonomous
They scope, they build, they ship. You review the output, not the process.
FAQ
What have other teams built with Near engineers?+
Automated reporting, unified dashboards that pull from your CRM, project tools, and communication platforms, internal knowledge bases, client onboarding flows, follow-up automations, and data cleanup pipelines. Most teams start with whichever of these is costing the most hours.
Can clients hire the engineer full-time?+
Yes. You can start with a package or two to see how the engineer works with your team. If it's a good fit, you can convert them to a full-time hire. A lot of our clients go that route.
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. You buy a package of hours based on what you need. Use them, see what gets built, and decide from there.
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 on top — Claude, ChatGPT, n8n, Make, Zapier, and Python. They're also fluent in the workflow and data tools your team already uses.
What teams say after hiring a Near 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
Near has allowed us to nearly double our caseload without doubling our in-office staff.
Kathy Patterson
Operations Manager
California Consumer Attorneys
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
Engineering follows the roadmap.
Automation ideas pile up.
Something has to give.
The situation
- Product team was committed to roadmap — internal automation requests had nowhere to go
- Five client systems needed to stay connected across GTM, CRM, PMS, Facebook, and their own platform
- Broken connections were found after the fact — often by the client
- Operations teams had ideas. No one to build them.
Before vs. after
| Area | Before | After |
|---|---|---|
| Integration monitoring | Manual spot checks | Automated, continuous |
| When issues surfaced | After client noticed | Before client noticed |
| Product team | Pulled onto ops work | Roadmap protected |
| Automation backlog | Growing, untouched | Being shipped |
What was built
- ✓Monitoring across GTM, CRM, PMS, Facebook permissions, and their proprietary platform
- ✓Automated alerts when connections break — before reporting issues surface
- ✓A live view of what's connected, what's disconnected, and what needs action
- ✓Scoped as a clear MVP, designed to expand into other workflows once proven
Why it mattered
- Ops teams stopped waiting on product for internal tooling
- Integrations team moved from reactive to proactive — faster detection, fewer manual checks
- Product stayed focused on roadmap with no interruption
- The same model is now expandable to other departments with the same problem
When product is focused on the roadmap, operational automation shouldn't sit in the backlog. Near gives teams the technical bandwidth to turn internal AI and automation ideas into working systems — without slowing product down.
Book the call. Bring your messiest workflow. We'll tell you how we can help.
Talk to one of our engineers