Job Description, Responsibilities & Requirements
About the Position
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 study
Stack
- RAG
- MCP
- Python
- Node.js
- Claude
Related reading
- The New Superpower in Modern Work: Deep Researching with AI
- AI vs Custom Software Development: The 16-Month Reality Investors Ignore
Frequently Asked Questions
Want to see if your AI feature is production-ready?
Start with the Readiness Audit
The Remote Team Readiness Audit evaluates how prepared your team is to bring on a remote engineer. 4 minutes, 10 questions, no email required to see results.
Remote Team Readiness Score
4-minute assessment
Question 3 of 10
4 min
## We Offer
- **Remote work** opportunities
- **Competitive compensation**
- **Direct collaboration** with senior engineers and the CEO
## About the Company
We are a team of seasoned AI engineers dedicated to delivering production-ready AI features. Our engineers have a proven track record of integrating advanced AI models into live products, ensuring they are robust, evaluated, and cost-effective.