Hire an AI Product Engineer for your team.
Works across product and engineering to ship AI features users actually adopt. Available full-time, part-time, hourly or by project.
- 7-day risk-free trial
- NDA and IP protection
- Onboard in 48 hours
Tell us who you need.
What an AI Product Engineer does for you.
Works across product and engineering to ship AI features users actually adopt. This person fits small teams who need someone to talk with users, decide what to build and then actually ship it.
Core skills
- Rapid prototyping
- Product analytics
- AI UX
- User feedback loops
- Turn a business problem into an AI feature
- Build services around models and APIs
- Connect AI features to your product and data
- Measure quality, cost and latency
When this role makes sense.
You have an AI idea but no engineer
A prototype needs to reach production
Your team needs senior AI direction
Ready to hire an AI Product Engineer?
Share your requirements and get matching profiles within 24 hours.
Three simple steps, no hiring fees.
Share your requirements
Tell us the role, the work and your goals. We share matching profiles within 24 hours.
Interview and select
Interview the people you like. Technical rounds and trial tasks are up to you, at no charge.
Onboard and start
Sign the NDA and the person joins your tools and meetings, usually within 48 hours.
Flexible terms, low risk.
7-day risk-free trial
Not satisfied in the first 7 business days? Get a replacement or end it at no charge.
NDA and IP protection
We sign both before work starts, and you own everything that is produced.
Free replacement
If the fit is wrong, we arrange a replacement with a structured handover.
Easy exit
Scale down or stop with 15 days’ written notice.
Looking for a different role?
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Still unsure? Talk to a strategist.
- Profiles within 24 hours
- NDA signed before any discussion
- 7-day risk-free trial
What does an AI Product Engineer do?
Works across product and engineering to ship AI features users actually adopt. Typical work includes: turn a business problem into an AI feature; build services around models and APIs; connect AI features to your product and data; measure quality, cost and latency.
How do we evaluate an AI Product Engineer?
Ask about an AI feature that users ignored and what they learned. They should measure adoption and task success, and not just the quality of the model’s output.
What skills should an AI Product Engineer have?
Look for hands-on experience with Rapid prototyping, Product analytics, AI UX, User feedback loops, plus clear communication and evidence of similar work.
When should we hire an AI Product Engineer?
This role is a good fit when: you have an AI idea but no engineer; a prototype needs to reach production; your team needs senior AI direction.
How quickly can an AI Product Engineer start?
We share matching profiles within 24 hours. After you interview and choose, onboarding usually takes 48 hours.
Who owns the work?
You do. We sign an NDA and an IP assignment agreement before work starts, and everything produced belongs to your business.
What if the person is not the right fit?
Every hire starts with a 7-day risk-free trial. After that, you can request a replacement or end the engagement with 15 days’ written notice.