LLMOps Engineer

Job not on LinkedIn

🕒 August 4

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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The Disruptors Den

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🤝 B2B

🌍 Social Impact

B2B • Startup • Social Impact

The Disruptors Den is an organization that focuses on innovation and entrepreneurship, providing a platform for startups and new ideas to thrive. It serves as a community for disruptors and visionaries seeking to challenge the status quo and drive change in their respective industries. The goal of The Disruptors Den is to connect like-minded individuals and foster an environment conducive to growth and collaboration.

📋 Description

• Build and run product-specific evaluation suites by failure mode, on schedule and with every release • Maintain cost-effective evaluations as the product line grows • Own the reporting loop by presenting evaluation findings and platform data to the team and stakeholders • Surface unintended or problematic model behaviour before learners encounter it • Steward core datasets, including classified customer-support data • Partner with the AI Product Manager on product instrumentation and build evaluations over captured data • Collaborate with Anthropic Engineers, AI engineers, product managers, and data scientists to design learning experiences • Grow from supporting the technical lead’s designs toward full ownership of the analyzer function

🎯 Requirements

• Solid Python skills and comfort shaping and analysing messy LLM-generated data • Data inclination • Ability to decompose AI products into success and failure metrics • Familiarity with Langfuse, RAGAS, DSPy, or similar evaluation tools; depth in one and awareness of the others • Evidence of measuring an AI system honestly in a project • Willingness to own a function rather than only execute tickets • Strong communication and collaboration ability • Self-drive to communicate constantly using web collaboration and video conferencing • Preferred time zone: GMT+2 • Desirable but not required: experience keeping evaluations cheap at scale, dashboarding and reporting, and classical statistics

🏖️ Benefits

• Encouraged to continually develop capability and attain certifications to reflect individual growth • Virtual working and collaboration across international locations