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Someone to build and ship your AI workflows — not prototype them. Connects models to real systems, automates the handoffs your team currently does by hand, and delivers outputs that stay in production.
Sample use cases they can staff into
Departments served
Clean, structured, reliable data that your AI can actually use. Every AI initiative in your org is only as good as the data feeding it — this is the person who makes sure that foundation holds.
Sample use cases they can staff into
Departments served
Ownership of your day-to-day AI workflow. Translates between business needs and technical execution — the person who ensures your AI workflow connects to outcomes, not just outputs.
Sample use cases they can staff into
Departments served
The systems blueprint before you build anything else. Decides what to build, how the pieces connect, and what the data and integration architecture needs to look like — especially for companies that have accumulated a mess of disconnected AI tools.
Sample use cases they can staff into
Departments served
Specialized AI roles often require a targeted search. Tell us exactly what you’re building — stack, workflow, seniority — and we’ll source, vet, and place from our global network. No recruiting fee. No agency markup. Just your dedicated team member, ready to work.
U.S. Full-Time AI Hire
Month to month · Cancel anytime
Can they turn a messy process into steps with exception handling — not just run a prompt?
Can they cite sources and data — and flag uncertainty reliably? This is the accountability layer.
APIs, automations, permissions, logging. Do they think in systems, or just in chat interfaces?
Sampling, checklists, reconciliations, clear "definition of done." Can they build the trust layer?

Our AI engineers build with SOC 2 compliance, HIPAA-adjacent data handling, role-based access controls, and audit log requirements in mind — not as afterthoughts, but as part of how they architect from day one. If you're in financial services, healthcare, legal, or government-adjacent work, tell us. We'll match accordingly.
David L. — CTO, Series B Technology Company
As AI programs mature past the prototype stage, companies start asking for more specialized ops roles. These are the categories we see emerging in our client conversations — and where we’re actively developing pipeline. When you’re ready for them, we will be too.
Relay was founded in Dallas to solve a problem our team lived firsthand: scaling intelligent operations without the overhead of U.S.-only hiring. We’ve built sourcing pipelines, compliance frameworks, and team management infrastructure across the Philippines, India, Honduras, and Mexico — so your first hire isn’t our learning experience.
Today we support companies across tech, legal, financial services, and commercial real estate. The fastest-growing category we staff is AI operations — because the demand is real, the global talent exists, and most companies just don’t know how to find and vet it properly. That’s what Relay does.