AI & ML Engineering
Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
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Posted 4 months ago
Applications closedTolvex Studio
Remote
Chicago, United States (UTC-6)
Media mix modeling used to take 6 weeks to run and required a statistician to interpret. Modern approaches can run in hours and surface actionable all...
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Posted 4 months ago
Applications closedTrivon Data
Remote
Chicago, United States (UTC-6)
When a 24-year-old NBA player posts his best statistical season, is he entering his prime or having a career year? When a pitcher's velocity drops 2mp...
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Posted 4 months ago
Applications closedTuvex Solutions
Remote
New York, United States (UTC-5)
Every support team has the same problem: customers ask questions the knowledge base doesn't answer, so tickets go to human agents who answer from memo...
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Posted 4 months ago
Applications closedUelvex Cloud
Remote
Los Angeles, United States (UTC-8)
An API that 3,000 consumers depend on is a high-blast-radius system. When it goes down or changes in a breaking way, the downstream impact is invisibl...
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Posted 4 months ago
Applications closedUlara AI
Hybrid
Los Angeles, United States (UTC-8)
Voice style transfer sits between voice cloning and text-to-speech: given a target speaker's characteristics — their timbre, pace, prosodic patterns,...
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Posted 4 months ago
Applications closedUlvex Systems
Remote
Chicago, United States (UTC-6)
Alert fatigue is an observability epidemic. A service experiencing a single network partition can generate 800 alerts across 40 different monitors in...
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Posted 4 months ago
Applications closedUnvix Works
Remote
New York, United States (UTC-5)
Schema registries store the structural contracts that define how data flows between producers and consumers. Most organizations have a registry. Very...
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Posted 4 months ago
Applications closedValtrix Solutions
Remote
Chicago, United States (UTC-6)
A property valuation that doesn't account for neighborhood amenities is incomplete. The same 3-bedroom house commands a 22% price premium if it's walk...
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Posted 4 months ago
Applications closedVelmox Data
Remote
New York, United States (UTC-5)
Data drift monitoring typically focuses on distribution shifts: has the statistical distribution of input feature X changed? That's necessary but not...
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Posted 4 months ago
Applications closedVelvix Labs
Hybrid
Timezone not specified
Emergent capabilities — behaviors that appear in large language models at scale without being explicitly trained — are one of the most poorly understo...
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Explore opportunities built for candidates in LLM systems, machine learning, MLOps, automation, and applied AI delivery.
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Start with the specialty that matches your strengths, then review roles designed for practical AI work, stronger fit, and faster decision-making.
Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
Browse JobsFind jobs in LLM products, retrieval systems, prompt design, and language-first AI workflows.
Browse JobsExplore opportunities in deployment, monitoring, orchestration, and scalable AI infrastructure.
Browse JobsReview roles for PMs and strategists connecting AI initiatives to roadmap, adoption, and business value.
Browse JobsFind practical roles focused on orchestration, copilots, internal tooling, and AI-powered process design.
Browse JobsBrowse opportunities in analytics, forecasting, experimentation, and decision support for AI teams.
Browse JobsExplore by specialty
Some candidates start with AI & ML Engineering jobs for product and model delivery, while others focus on NLP & Prompt Engineering jobs for LLM products, MLOps & AI Infrastructure jobs for production reliability, or AI Product & Strategy jobs for roadmap and adoption work.
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Prompt engineer jobs
The term prompt engineer jobs usually covers more than prompt writing alone. Many remote teams are hiring people who can shape LLM behavior, improve outputs through evaluation, connect prompts to retrieval systems, and turn AI workflows into reliable product features.
On RemoteAI, these roles often overlap with NLP & Prompt Engineering jobs, but they can also appear inside broader AI & ML Engineering jobs and Automation & AI Workflow jobs when companies need production execution, orchestration, or internal copilots.
Prompt engineer jobs often include prompt design, LLM evaluation, retrieval tuning, guardrail definition, experimentation, and close work with product or engineering teams.
The strongest candidates usually combine language model intuition with structured testing, workflow thinking, API familiarity, and the ability to improve quality over repeated iterations.
If you are targeting prompt engineering jobs remote, start with the dedicated NLP category, then compare adjacent AI roles where prompt systems are part of a larger shipping responsibility.
Candidates looking for prompt engineering jobs remote often want roles in assistants, AI search, RAG systems, internal copilots, content workflows, and agent-style automation. Browse the most relevant category first, then widen your search if you also work across model delivery or workflow operations.
FAQ
You can explore remote AI jobs across machine learning, prompt engineering, MLOps, data science, automation, and AI product roles.
Many opportunities are remote-friendly and designed for distributed talent, including freelance, contract, part-time, and full-time roles.
Start with the category that best matches your strengths, then filter by experience level and job type so you spend more time reviewing relevant opportunities.
RemoteAI is focused on AI-specific roles, which makes it easier to find openings tied to LLM systems, machine learning, prompt engineering, MLOps, automation, and applied AI work.
Yes. RemoteAI includes prompt engineer jobs, prompt engineering jobs remote, and adjacent LLM roles where companies need evaluation, retrieval, workflow design, and practical AI product execution.
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