Hire the people who make AI real.
Add engineering talent for the work between a successful prototype and a successful product: integrations, data foundations, model-powered features, reliable agents, and production operations.
Discuss your hiring needsFind the right AI engineering role.
The title matters less than the real ownership. Start with what your organization needs to deliver.
MATCH CAPABILITY TO YOUR ROADMAP
Do you need an engineer—or an entire team?
Start with one experienced specialist when your internal engineering organization has clear leadership and a defined bottleneck. Consider a dedicated cross-functional team when delivery needs data, application and agent capabilities working together.
Start with the problem. Then define the title.
The difference between a Forward Deployed Engineer and an Applied AI Engineer can change your screening plan, budget, onboarding, and business outcomes.
Read the role comparisonWhat to bring to discovery
- Your product goals and current architecture
- Which data, APIs, and systems the engineer will touch
- What must be owned in production
- Team overlap and collaboration requirements
- Seniority expectations and interview criteria
Tell us what needs to ship.
We'll help you translate the work into a clear engineering profile.