Applied AI Engineer

Posted 32 Minutes Ago
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San Francisco, CA, USA
In-Office
150K-250K Annually
Entry level
Artificial Intelligence • Software • Automation
The Role
Build and operate Orpex’s agentic infrastructure, including production LLM agents, orchestration, memory, retrieval, human approval workflows, and evaluation systems. Own the full development loop from implementation and measurement through failure analysis, reliability improvements, and learning. The role ships to production immediately and may also involve infrastructure work, customer calls, and hiring.
Summary Generated by Built In

ABOUT ORPEX

The next generation of service companies won't scale through headcount. They'll be built by tiny teams orchestrating AI workforces with 1000x the output. Orpex is building the infrastructure they run on: agentic workforce, company brain, human trust layer, one cockpit to run the business.

We just raised an oversubscribed 2.7M angel round in 7 days and are moving at rapid speed.

APPLIED AI ENGINEER

Everyone is building agents. Almost nobody is building agents a real company can run on.

You own the agentic infrastructure of Orpex: the workforce that executes, the company brain that remembers, and the evals that prove it works. Agents that run the same task for the fiftieth time as reliably as the first. Memory that holds months of client context. Approvals that pull a human in at exactly the right moment. You decide how agents plan, remember, fail and recover. You'll ship to production in your first week.

WHO WE'RE LOOKING FOR

  • Agents in production. You've shipped LLM agents that ran unattended for real users. You know the model is the easy part.

  • Evals you trusted. You've built eval harnesses that people actually used to decide what ships.

  • Memory and context. Retrieval that works on messy operational data, not demo RAG.

  • Intensity. You force things into existence. Bonus if you've built agent tooling in the open or founded something.

YOUR FIRST MONTH

  • Ship from day one. An agent running for a real company in week one.

  • Own the loop. Build it, measure it, break it, fix it, make it learn.

  • Do what needs doing. Infra, orchestration, customer calls, hiring the next engineer.

WE OFFER

  • $150–250K USD base + meaningful early equity

  • San Francisco, in person. Relocation and visa sponsorship covered.

  • Pace and purpose. Small team, high standards, high trust, no politics.

PROCESS

  1. 30-min intro call

  2. 90-min deep dive on an agent system you shipped: what broke, what you measured

  3. Technical task

  4. Offer the same week

If you want to build something truly generational and are ready to make it your life's mission, this is for you!

Skills Required

  • Experience shipping LLM agents that operated unattended for real users in production
  • Experience building evaluation harnesses used to determine what should ship
  • Experience building retrieval and memory systems for messy operational data
  • High-intensity, execution-oriented approach to building and shipping products
  • Experience building agent tooling in the open or founding a company
Am I A Good Fit?
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The Company
1 Employee

What We Do

Orpex provides an AI operating system for AI-native service businesses. Users describe the company they want to build, and Orpex assembles an AI-agent workforce, operating playbooks, and a shared company “brain” to run it. Its agents can support recruiting, website development, marketing, PR, lead generation, and back-office work, while founders retain oversight and approve key actions. The platform aims to help small teams operate companies with less reliance on headcount.

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