Scaling APIs, data and model serving

Backend Engineering Recruiters for NYC AI Startups

Model calls, customer data and growth all land on your backend. The backend engineers we put forward for New York City AI startups have kept systems like yours running through rapid growth, migrations and late-night incidents.

75+
Candidates placed
17 days
Average time to hire across our last 3 hires
98%
Retention rate
Example Backend Engineer shortlist for a Series B healthcare AI startup in Hudson Yards, with three candidates assessed on evidence

At a glance

Backend hiring for products built on models

We recruit across backend, platform and infrastructure engineering. Most searches start with one question: what breaks first as you grow?

Roles we recruit for

Senior and staff backend, platform and infrastructure engineers

Stages

Seed to Series C

Where

New York City. In office, hybrid or remote

Who we look for

Engineers who scaled production systems and kept them up through incidents and migrations

Speed

Our last 3 hires averaged 17 days

How you pay

Retained, success-based or embedded. Terms agreed upfront

How we assess

Backend engineers who have been on call for it

Plenty of engineers have worked on a big system. We find the ones who had a part of it to themselves, changed it and answered for it when it broke.

01

Owned a system end to end

Design, deploys, on-call and roadmap. We want to know which service was theirs. Shared ownership is fine if they can name their part.

02

Scaled without a rewrite

10x growth handled with targeted changes, and a clear view on when a rewrite really was the right call.

03

Built around model calls

Queues, caching, rate limits, token and GPU costs. We ask about the backend work around model calls, which is where AI products often slow down.

04

Improved how the team builds

We ask what they changed in how the team works, such as review standards, runbooks or design docs, and whether it stuck.

We check
  • Systems they owned

  • Scale and incidents

  • AI serving work

  • Notice and pay

Your team checks
  • System design

  • Code and API quality

  • Debugging under pressure

Liam, Founder of StellarSearch

Who runs your search

Liam, Founder of StellarSearch

Our team brings 20+ years of search experience across engineering, AI/ML, product and GTM.

LinkedIn ↗
Sample Backend Engineer candidate write-up: what they built, why they would move, what to watch for and what to test in your interview

Client feedback

Feedback from founders and the engineers we placed

Where our hires come from

We've placed people from teams like these

We look past titles to the work: ex-founders, early employees and people doing their best work outside the day job.

How we work

How we run your search

From the first call to an accepted offer. What we handle, and the few places we need you.

Step
What we do
What you do
01
Brief
What we do

Learn what you're building, what the hire owns in the first 90 days, and the comp, equity and location you can offer.

What you do

One call with the founders.

02
Market map
What we do

Map the market from day one. If the problem is sourcing, pay, location, process or the profile, we tell you early.

What you do

Agree any changes to the brief.

03
Outreach
What we do

Approach people who aren't applying anywhere, and assess each one on evidence before they reach you.

What you do

Nothing. This part is ours.

04
Introductions
What we do

Send each candidate with our write-up, then schedule and keep the process moving.

What you do

Run your interviews.

05
Offer and close
What we do

Advise on the offer, handle the back and forth, and close.

What you do

Make the final call.

If the search isn't working, we tell you fast. We use market data to recalibrate instead of sending weaker candidates for weeks.

Ways to work with us

Three ways to work with us

Pick the model that fits the hire. All terms are agreed upfront, with no hidden fees.

Best for a priority hire

Retained

A dedicated search for the one hire that can't wait. We commit time to your role from day one.

  • Dedicated search from the first call

  • Market map shared with you

  • Fee agreed upfront

Best for a single hire

Success-based

We run the search and you pay when the hire is made.

  • No fee until you hire

  • Same assessment on every candidate

  • Terms agreed before we start

Best for several roles

Embedded

We work as part of your team across several hires, for a monthly fee plus a reduced success fee.

  • Monthly fee plus reduced success fee

  • One hiring standard across roles

  • Works alongside your in-house team

FAQs

Before you hire a backend engineer

Can't find your answer? Talk to our team.

What does a backend engineer do at an AI startup?

When do we need a platform engineer instead of a backend engineer?

Can you find backend engineers who know our languages?

Should we hire a backend specialist or a full-stack engineer?

What should a backend technical interview cover?

Can a backend engineer also cover data engineering?

How quickly will we see candidates?

We already have an in-house recruiter. Why use you?

How much of the process do you own?

What if the search isn't working?

How do you charge?

Hiring your founding team?

Tell us what you're building. We'll find the experts who can build and ship it.

Start Hiring

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