Hire Senior AI Engineers
Most "AI engineers" can wire up a chat demo. Few can ship an AI feature that holds up in production - grounded, evaluated, and integrated into a real product. We staff senior engineers from our own team who do the second thing, and who build with an internal AI workflow toolkit themselves. Start in about five days, prove fit in a two-week paid trial, exit any time on 30 days.
Who you actually get
Production-vetted engineers who have shipped real LLM features - retrieval pipelines, agents, tool calling, and model integrations wired into live products - not prompt tinkerers with a senior rate.
You work with the engineer directly, with the CEO reachable, no account-manager layer between you and the code.
Where they are strongest
Grounding models on your own data with RAG, building agentic and tool-using workflows, wiring models into apps through MCP, and the unglamorous part that decides whether AI features survive contact with users: evaluation, guardrails, and cost control.
How it works
A short readiness audit matches the right engineer to your stack and the AI problem you are actually solving. A two-week paid trial confirms fit on real work, not a sales pitch. If it is not right, you exit on 30 days - no recruiter fees, no six-month hiring cycle.
Proof
Our engineer’s AI beat the platform’s own report engine - in production, for a 3,000-staff client.
On Dr. Todd Hall’s research platform, our engineer integrated Claude through MCP to generate the interactive reports. It now outperforms the platform’s built-in engine and serves a live pipeline that includes a 1,800-student university and a 3,000-staff organization. This is shipped, not demoed.
Read the case studyStack
Frequently asked questions
- What kind of AI work do your engineers do?
- Production LLM features: retrieval-augmented generation on your own data, agents and tool calling, model integration through MCP, plus the evaluation and guardrails that keep them reliable.
- Are these senior engineers or AI hobbyists?
- Senior, production-vetted engineers from our own team who have shipped AI features into live products, augmented with our internal AI workflow toolkit so they move fast without dropping quality.
- How fast can an AI engineer start?
- Typically about five days from the readiness audit to a matched engineer working on your codebase.
- What if the engineer is not the right fit?
- You prove fit in a two-week paid trial on real work before any real commitment. If it is not right, you exit on 30 days - no recruiter fees, no long-term lock-in.