Hire AI Engineers
Build production AI systems, not just notebooks.
7 days
Onboarding time
5+ yrs
Min experience
$50-$85/hr
Rate range
100%
IP yours
The Problem
Why Hiring AI Engineers Is Hard
Most hiring processes take 3+ months, surface unvetted candidates, and result in engineers who need 6 weeks to become productive.
How CodeAir Solves It
We pre-vet AI Engineers, match them to your stack, and onboard them in your environment within a week. You interview the shortlist directly — no filters.
Job boards surface hundreds of CVs with no reliable quality signal.
Interviews test for talking, not for building — the wrong skills get selected.
Notice periods and slow contracting burn months of runway.
Engineers hired direct take 4–8 weeks to become independently productive.
Our Approach
How We Place AI Engineers
Tell Us Your Requirements
Share the role scope, tech stack, and start date. We match you with pre-vetted AI Engineers from our active pool within 24 hours.
Interview in 48 Hours
We shortlist 2–3 candidates. You interview them directly — no middlemen, no filters. You pick who you want.
Onboard in 7 Days
After you select, we handle contracting and onboarding. The engineer is in your Slack, on your tools, shipping code within a week.
Need a AI Engineers Now?
Tell us your stack, start date, and engagement length. We'll respond within 24 hours.
Capabilities
What Our AI Engineers Bring
Python
Production-grade Python experience with real-world deployments and codebases.
LangChain
Production-grade LangChain experience with real-world deployments and codebases.
PyTorch
Production-grade PyTorch experience with real-world deployments and codebases.
Vector DBs
Production-grade Vector DBs experience with real-world deployments and codebases.
Team Collaboration
Works in your timezone, on your tools, in your Slack — indistinguishable from your own team.
Quick Ramp-Up
AI Engineers who can read an existing codebase, ask the right questions, and ship within the first week.
Our Approach
Our Vetting Standard
Senior AI engineers who take models from experimentation to production. Experienced in LLM fine-tuning, RAG pipelines, vector databases, and inference optimisation. They bridge the gap between data science and engineering.
Ideal For
Built For Teams Like Yours
Engagement Models
Three Engagement Models. One Delivery Standard.
Full-Time Embedded
Best for: Long-term work
A dedicated AI Engineers embedded in your team, working your hours, on your tools — 160 hrs/month.
Part-Time (50%)
Best for: Specific scope
80 hrs/month — ideal for ongoing maintenance, feature sprints, or augmenting a small team.
Project Sprint
Best for: Defined deliverable
Fixed scope, fixed timeline. Ideal for MVPs, integrations, or a specific engineering milestone.
Why CodeAir
Why Choose CodeAir?
Pre-vetted Pool
Only 15% of applicants pass our vetting. You hire from that shortlist.
7-Day Replacement
If there's a mismatch, we replace within a week — no cost to you.
Direct Communication
You interview, you select, you work directly with the engineer. No account managers.
IP Ownership
All code, repos, and credentials are yours. Zero lock-in, ever.
Timezone Aligned
We match engineers to your working hours — no async-only arrangements.
Transparent Pricing
Rate agreed upfront. No surprise invoices or scope creep on billing.
FAQ
Hiring AI Engineers — Common Questions
Yes — including custom prompt engineering and multi-model orchestration.
After a signed agreement, we onboard AI Engineers within 5–7 business days. In urgent cases, we've placed engineers in 3 days.
Every engineer passes a technical screen, a live coding assessment, and a communication interview. We also verify their production project history.
We offer a 7-day replacement guarantee. If there's a mismatch in the first two weeks, we replace at no extra cost.
Yes, 100%. All IP, code, commits, and credentials belong to you from day one.
Yes. After 6 months of working together, you can convert to a direct hire with a transparent buyout fee.
Our engineers can align with your local timezone (US Eastern, Pacific, GMT, or IST) for up to 4 hours of daily overlap, ensuring smooth standups and handovers.
We integrate directly with your Slack, Jira, Linear, or GitHub. The engineer participates in daily standups and pushes code daily.
Yes, our team extension model has a minimum commitment of 4 weeks. After that, you can cancel or scale with a standard 14-day notice.
Yes, on-site travel can be arranged for project kickoffs, planning sprints, or critical milestones, subject to travel expenses.
Ready to Hire a AI Engineers?
Tell us your stack, team size, and start date. We'll shortlist pre-vetted AI Engineers within 24 hours.