LLMOps is the operational work around language-model applications: versioning prompts and models, evaluating changes, tracing execution and managing latency and cost. Many applications depend on externally hosted models, so operational ownership often sits at the application boundary.
105 live roles18 hiring companies49% remote-friendly
Vacancy evidence map
Where LLMOps carries hiring weight
Each segment represents roles where LLMOps was parsed at that evidence tier. This keeps a required production skill separate from contextual stack language.
1 Core44 Required35 Supporting25 Optional
45core + required43% of mentions
5.8roles per company18 employers
Market interpretation
What LLMOps demand means in practice
LLMOps is the operational work around language-model applications: versioning prompts and models, evaluating changes, tracing execution and managing latency and cost. Many applications depend on externally hosted models, so operational ownership often sits at the application boundary.
Track the prompt, model, retrieval data and tools used for each release. Show a regression evaluation, a traced failure and a rollback plan. Include rate limits, provider errors and cost budgets alongside output quality. Distinguish operating an application from operating the underlying inference hardware when describing your contribution.
LLMOps is the operational work around language-model applications: versioning prompts and models, evaluating changes, tracing execution and managing latency and cost. Many applications depend on externally hosted models, so operational ownership often sits at the application boundary.
What evidence should I provide for a LLMOps role?
Track the prompt, model, retrieval data and tools used for each release. Show a regression evaluation, a traced failure and a rollback plan. Include rate limits, provider errors and cost budgets alongside output quality. Distinguish operating an application from operating the underlying inference hardware when describing your contribution.
How LLMOps appears in job requirements
Inferred from the title and requirement wording in 105 active roles; each role is counted once. Read the methodology.
Posting evidence, not a company-wide stack claim
Main / core
<1%(1)
Required
42%(44)
Supporting / context
33%(35)
Nice-to-have
24%(25)
Skills mentioned with LLMOps
A shared posting does not always require both skills. Explicit alternatives are counted separately.