Inglenook Work with us

For engineers

AI / ML Engineer jobs.

Builds products and systems on top of models: LLMs, agents, and ML. Here is what the role is, what it pays, and what is open now.

01 / Definition

What is a ai / ml engineer

An AI/ML engineer builds with models. That spans applied LLM work (agents, retrieval, tool-use) and machine learning, plus the systems that make either reliable in production.

This is the most in-demand engineering role right now, and the one where being AI-native is not a bonus but the whole job.

What they do

  • Build agentic and LLM-powered features that hold up in production.
  • Design retrieval, tool-use, and orchestration.
  • Write evals so quality is measured, not guessed.
  • Know when to use a model and when plain code is better.
02 / Pay

What it pays

These roles are remote and global. Total compensation for strong ai and ml engineers runs $180k to $400k depending on level and location. We do not post a role we would not take ourselves.

03 / Open now

Open ai / ml engineer roles

FAQ

Common questions

What does an AI/ML engineer do?

They build products and systems on top of models: agents, retrieval, and machine learning, made reliable in production.

Is this remote, and what does it pay?

Yes, it is remote and global. We hire the best person for the work wherever they are. Total compensation runs $180k to $400k depending on level and location.

Do I really need to be AI-native?

Yes. It is the one hard requirement. You should already build with AI day to day, with real taste for when to trust it and when not to. If AI coding is still a novelty to you rather than how you work, this is not the role.

We only hire the best AI-native engineers.

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