Remote AI Automation Engineer - Workflow & LLM Ops

Remote Jobs

United States

Remote

USD 110,000 - 150,000

Full time

3 days ago
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Job summary

Broadcastwell LLC, a remote US consultancy, seeks an AI Automation Engineer to ensure the reliability of measurement, outreach, and content systems used for client work. You will automate repeatable tasks, fix failing runs, keep receipts and ensure scoring consistency while organizing client evidence so the team can find published records.

Hours are flexible within US time zones. Requires 3+ years engineering, Python and JavaScript, and experience with workflow automation and production LLMs; US

Qualifications

  • Three or more years of engineering experience.
  • Proficient in Python and JavaScript.
  • Experience with workflow automation and with large language models in production.
  • An example of a problem you diagnosed from logs or data rather than by guessing.
  • Eligibility to work in the United States without visa sponsorship.

Responsibilities

  • Run the scheduled measurement work and fix a run that fails, from the evidence of what failed.
  • Keep a receipt for every observed answer, so each score can be traced.
  • Keep answer scoring consistent across repeated runs of the same questions.
  • Organize research and client evidence so the team can find any record it has published.
  • Turn a task the team repeats by hand into one that runs the same way each time.
  • Write down how each piece of repeatable work runs, so someone else can run it.

Skills

Engineering experience
Python
JavaScript
Workflow automation
LLMs in production
Log analysis

Job description

Broadcastwell LLC, a remote US consultancy, seeks an AI Automation Engineer to ensure the reliability of measurement, outreach, and content systems used for client work. You will automate repeatable tasks, fix failing runs, keep receipts and ensure scoring consistency while organizing client evidence so the team can find published records.

Hours are flexible within US time zones. Requires 3+ years engineering, Python and JavaScript, and experience with workflow automation and production LLMs; US

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