Senior AI Engineers

RemoteSalary not specified
Location not specified

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.

logicflow.io/audit

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.

Job Details

Location:
Location not specified
Work Mode:
Remote
Posted on TheJob:
Jul 29, 2026
Last checked:
Jul 29, 2026
Apply Now