AI engineers available now Full-time roles only — not freelancers

Hire an AI Engineer
who's already been vetted.

The best AI engineers aren't on Upwork. They're employed at startups, working on interesting problems — and quietly open to something better. Underdog.io delivers pre-screened, full-time AI engineers with production LLM, ML, and applied AI experience directly to your inbox every Monday. No agencies. No freelancers. No retainer.

Start hiring AI engineers → See how it works →
No upfront retainer Pay only when you hire Hand-reviewed candidates only US-based engineers only
Top 5%
of applicants accepted — only the best reach you
163%
growth in AI job postings 2024–2025
11.5%
per hire — half what agencies charge
50%+
of companies turned away — your brand stays protected

Why hiring AI engineers is broken

The best AI engineers aren't
looking. You have to find them.

AI engineering is the most talent-constrained specialty in software right now. The engineers you actually want — with production LLM experience, real ML systems in market, and the ability to own an AI stack end-to-end — are already employed. They're not on Upwork. They're not responding to InMails. You need a different approach.

🔎
Job boards miss the best

Top AI engineers aren't browsing job boards. They're shipping AI features in production. If they're applying to your posting, ask yourself why they have time to do that.

💸
Freelancers aren't the answer

Upwork and Toptal deliver contractors. You need someone who will own your AI stack long-term — building institutional knowledge, mentoring your team, and shipping with you for years.

⏱️
Time kills AI hiring

The average AI engineering role takes 52+ days to fill. Every week you're without the right hire is a week your AI roadmap stalls. Speed to quality interview matters more here than anywhere else.

Underdog solves all three. We surface AI engineers who are quietly open — employed, building in production, but open to the right opportunity. You get a curated shortlist. Every candidate is full-time-seeking, US-based, and pre-vetted. You only pay when you hire.

AI specializations in the network

Every kind of AI engineer
your startup needs.

Tell us what you're building and what stack you're running on. We filter the network to match your specific requirements — not just "AI engineer" as a catch-all.

Hottest right now
LLM / GenAI Engineer

RAG pipelines, agent orchestration, prompt engineering, fine-tuning, LLM evaluation. Engineers who've shipped LLM-powered products to real users — not just prototypes.

High demand
Applied ML Engineer

Production ML systems, model training and deployment, feature engineering, A/B experimentation. PyTorch, TensorFlow, Hugging Face. Engineers who close the gap between research and product.

Infrastructure
MLOps / AI Platform

Training pipelines, model serving, evaluation frameworks, vector databases, observability. AWS, GCP, Kubernetes. The engineers who make sure your AI actually works in production.

Specialized
NLP / Computer Vision

Deep technical roles in natural language processing, computer vision, and multimodal systems. The highest-compensated AI engineering specializations — and the hardest to find through traditional channels.

Early-stage
Founding AI Engineer

Your first or second AI hire. High equity, high ownership, high pace. Engineers who can own the AI architecture, make the foundational decisions, and build the team around them.

Leadership
Staff / Principal AI

Technical direction, architecture ownership, team-building, and hands-on shipping. Series B and C companies scaling their AI teams need this profile — and it's the rarest one in the market.

Common stack across AI engineers in our network:
Python PyTorch LangChain OpenAI API Hugging Face RAG Vector DBs AWS / GCP Kubernetes MLflow Fine-tuning

Hiring guide

How to actually win the
AI engineers you want.

You're competing with Big Tech for the same candidates. Here's what the research shows — and what the best-hiring startups actually do differently.

What AI engineers actually want
Hard problems with real stakes
Stack Overflow's 2024 Developer Survey found most AI/ML specialists rank meaningful problem-solving above compensation. Your competitive edge isn't salary — it's the work itself.
Ownership of the full stack
The best AI engineers don't want to own one narrow model. They want to see their work in product, understand its business impact, and make architecture decisions that matter.
Speed over process
Top AI talent leaves big companies because 18-month release cycles are unbearable when the field moves weekly. Your startup's speed is the pitch — lean into it.
Meaningful equity
A 0.25% stake at a Series A that exits at $200M is real money. AI engineers understand this math — especially at AI-native startups where the AI is the product.
What kills AI hiring at startups
Using "AI engineer" as a catch-all
An LLM engineer and an MLOps engineer are not the same role. Vague job descriptions attract the wrong candidates and signal to the right ones that you don't know what you need.
A 5-round interview process
AI engineers are in high demand and have options. A 6-week interview process will lose you to a company that moves in 2 weeks. Compress your process or lose the candidate.
Hiding the comp range
Experienced AI engineers won't waste time in a process where they don't know if it's financially worth it. Every Underdog intro includes the salary range — because that's how it should work.
Only sourcing active candidates
The best AI engineers aren't searching. They need to be surfaced, warmed up, and convinced. That's what Underdog does — we give you access to the quietly-open, not just the actively-searching.

How it works

Vetted AI engineers in your inbox.
Every Monday.

No sourcing sprints. No LinkedIn InMail campaigns. No agency calls. A curated shortlist of pre-vetted AI engineers — matched to your stack — delivered every week.

01
Tell us what you need

Share your stack, the AI problem you're solving, seniority, and location preference. Takes 15 minutes. We use it to filter — not just match by keyword.

02
Receive vetted candidates

Every Monday, we introduce you to AI engineers who match your criteria. Hand-reviewed. Actively exploring. Full-time seeking. Already know about your company before the first message.

03
Interview and hire

Request interviews directly through the platform. No middleman markup. No exclusivity. You pay 11.5% only when you hire — and only if you hire.

Start hiring AI engineers →

How we compare

Not Upwork. Not a recruiter.
Not a job board.

Every option for hiring an AI engineer has a real trade-off. Here's an honest comparison for a startup making a full-time hire.

LinkedIn / Indeed
Upwork / Toptal
Agency / Recruiter
Underdog.io
Full-time candidates only
Pre-vetted candidates
~
No upfront fee
Fee under 15% of salary
No resume sorting required
Access to passive candidates
~

Compensation & pricing

What AI engineers cost —
and what you pay us.

Traditional agencies charge 20–25% of first-year salary. For a $180K senior AI engineer, that's $36–45K. Underdog charges 11.5% — pay-per-hire, no retainer, no risk.

Role / Level
NYC
SF
Remote
Mid-level AI / ML Engineer
$145–175K
$155–185K
$135–165K
Senior AI / ML Engineer
$175–215K
$185–230K
$165–205K
LLM / GenAI Specialist
$185–230K
$195–245K
$175–220K
Staff / Principal AI Engineer
$210–255K
$220–270K
$200–250K
Founding AI Engineer
$150–195K
$160–205K
$140–185K
Traditional agency
20–25%
of first-year salary. Often paid as a retained fee upfront. On a $180K AI engineer hire: $36–45K before a single interview.
Underdog.io
11.5%
pay-per-placement only. On a $180K hire: $20.7K. No retainer. No exclusivity. Zero cost if you don't hire.

Salary ranges reflect base at venture-backed startups. Equity is additive. Sources: Glassdoor, Acceler8 Talent, Interview Query 2025.

Companies in the network

The AI-native startups and
tech companies hiring now.

Every company has been reviewed and approved. No staffing firms. No agencies. Just real teams building real AI products — and hiring engineers to help them do it.

Bland
Hippocratic AI
Onboard AI
GC AI
Pepr AI
Keru.ai
Capital RX
Octogen Systems
Gemini
Eight Sleep
MoneyLion
Teamshares
Prismatic
Parachute Health
Mira

Not every company is actively hiring AI engineers at all times. We match you based on what's open when you join the network.

Common questions

What hiring teams ask before
getting started.

How quickly can I hire an AI engineer through Underdog.io?+
How is this different from Upwork or Toptal?+
Can I specify the AI stack and specialization I need?+
Do I pay if I don't hire anyone?+
Are your AI engineers US-based?+
How do you compete with Big Tech for AI talent?+

Ready to hire

Your next AI engineer
is already in
our network.

Pre-vetted. Full-time seeking. Introduced directly to you — no agency, no retainer, no offshore contractors. First batch in your inbox within one week.

Start hiring AI engineers →
No retainer required Pay only when you hire First batch within one week