~/AINative.careers—cat README.md07:29 · tmux 0 · 128×48
AINative.careers / README

What belongs here,
and what doesn’t.

01

Thesis

A generation of roles exists now that didn’t three years ago: people whose daily work is designing, operating, or shipping agent systems. Most job boards bury them in the same keyword soup as every ML infra and data-eng role from 2017. We index only the work that’s native to this moment.

02

What is an AI-native builder?

Someone whose job output is the agent — the prompts, the tool interfaces, the orchestration, the evals, the human loop. We recognize six archetypes:

AI Builder
builds the agent
AI Orchestrator
wires agents together
AI Workflow Designer
maps work onto agents
AI Agent PM
owns the agent surface
AI Operator
runs the human loop
Vibe Coder
ships on instinct, fast
03

Inclusion rule

assert employer_intent == "explicit"

The employer must say, in their own words, that the role is for building, operating, or orchestrating AI agents. Not “AI experience a plus.” Not “passionate about AI.” We don’t guess, and we don’t salvage.

04

What we include

✓ “Founding AI Builder” — title maps to archetype
✓ “Design and ship multi-agent workflows for our ops team.”
✓ “Own the planner-executor split for our voice agent.”
✓ “Run the human-in-the-loop layer. Escalate, label, retrain.”
✓ “Break the agent before customers do. Publish evals.”
✓ “Build whatever the agents ask for. No tickets.”
05

What we reject

✗ “Senior React Engineer · AI-forward team”
frontend role with AI in the marketing copy
✗ “Data Scientist — LLMs a plus”
classical DS role with keyword sprinkle
✗ “AI Consultant, $200/hr, remote”
contract work without employer context
✗ “Prompt engineer for our chatbot”
chatbot ≠ agent; no tool use, no loop
✗ “VP, AI Transformation”
buzzword layer above the people doing the work
✗ “Looking for AI founders”
not a job; a funnel
06

Not our focus (but fine roles elsewhere)

Classical ML research, model training, core infra, foundation model safety, and traditional software engineering roles at AI companies all matter — they’re just not what this index is for. This is about the layer where the agent meets the work. For those other roles we suggest ML-specific boards and company pages directly.