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Remote AI engineer hiring

Hire AI engineers who can actually build.

Hiring AI talent is slow, and the résumé barely tells you anything. Litmus sends you remote AI engineers who have already passed a real technical screen, run by a working AI engineer. You skip the early rounds and meet only the people worth your time.

142 days to fill an AI role the usual way. We get you a ranked, vetted shortlist in 7.

The problem

It’s not a talent shortage.
It’s a signal shortage.

Open any AI role and a hundred résumés land, all listing the same three things: LLMs, RAG, agents. Finding people was never the hard part. Telling who can actually ship is, and it keeps getting harder.

Too slow

Senior AI roles sit open for months. Every week one stays open is a week of roadmap that doesn’t ship.

Too noisy

The few engineers who have really shipped get buried under look-alike profiles and AI-polished CVs.

Too costly

Your best engineers burn hours screening strangers, most of whom were never going to clear the bar.

The market right now

This isn’t a hunch. The gap shows up in every dataset on AI hiring.

142
days to fill an AI role, vs 52 for general software
87%
of companies say AI roles are hard to fill
250+
applicants hit the average open role now
1 in 4
applicants will be fake by 2028 (Gartner)

Sources: CompTIA Tech Workforce Report; Employ Recruiter Nation; Gartner; LinkedIn Talent Insights, 2024–25.

How Litmus works

Four steps. The last one is yours.

01

Calibrate

We pin down what good looks like with you: the stack, the systems, what a yes really means.

02

Source

We go to remote AI talent worldwide, not a generic job board, and chase people who have actually shipped.

03

Vet

A working AI engineer runs a live technical screen. Real code, real systems, real judgment. Only the ones who clear it move on.

04

Decide

You get a short, ranked list that has already passed the hard part. You run the one round that matters.YOUR STEP

The bar

What “vetted” actually means

Not a quiz. A practitioner pressure-tests the work an AI engineer does once they’re on the job.

Real code

We read and talk through their actual code, not a take-home they had time to polish.

RAG & retrieval

Where it breaks, how they’d know, and what they’d measure.

Agents & tools

Tool use, orchestration, and what happens when it fails. Past tutorial level.

Evals & quality

Do they measure what the model puts out, or just ship and hope?

Production sense

Latency, cost, monitoring. The unglamorous parts that decide if it works.

System design

Can they design a system, or only call an API in a notebook?

What you get

The same hire, with the math on your side.

7
days
to a ranked shortlist
2–3
rounds
you skip per role
30–50
hrs
of engineering time saved
90
day
free replacement

Targets we calibrate with you per role and level, not promises pulled from thin air.

The model

We find and vet. You hire.

Litmus is a hiring partner, plain and simple. We find the person and prove they can build. You bring them on as your own remote hire. Everything after the offer is yours.

Start here
Free

See two vetted profiles before you commit to anything. If neither fits, you’ve lost nothing.

Pay on a hire
12–15%

Of first-year salary, billed only when you actually hire. No retainer, well under the usual 20–25% agency rate.

Guarantee
90 days

If a hire doesn’t work out inside 90 days, we run the role again, free.

Who it’s for

Built for teams where a wrong AI hire actually hurts.

Seed to Series B

You’re scaling and can’t afford a role open for three months, or a hire you have to undo.

AI is core

The role ships product. The bar is real, and a generic recruiter can’t hold it.

A lean senior bench

Your few senior engineers are worth more than first-round screens.

If hiring AI engineers has felt slow and full of guesswork, that’s exactly what we fix.

Who’s behind it

Two sides of the table, both on yours.

Hiring systems that scale, plus technical judgment that doesn’t miss. That pairing is the whole point.

The people side
Sumit

Fractional CHRO behind HR+. Builds the hiring systems and scorecards founder-led teams run on, so the bar is clear before we source anyone.

The engineering side
Dharmendra Pratap Singh

A working AI engineer who runs the technical screen. Reads real code and pressure-tests real systems, the way a strong final round would.

Start with one role.

Send us one open AI role. You’ll get a calibration call, a clear bar, and a final-round-ready shortlist on a clock.

Book a calibration call hello@thinkhrplus.com