AI & ML Engineering
Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
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Explore remote roles in prompt engineering, LLM systems, MLOps, machine learning, and applied AI for candidates who want real remote AI jobs.
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Posted 4 months ago
Applications closedLumio Systems
Remote
Chicago, United States (UTC-6)
We deploy AI models for 45 enterprise clients. Every deployment generates metrics: pre-deployment test results, canary analysis outcomes, rollout spee...
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Posted 4 months ago
Applications closedLyrex Data
Remote
London, United Kingdom (UTC+0)
Data contracts solve the 'my pipeline broke because upstream changed the schema' problem — but only if you can track what version of the contract each...
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Posted 4 months ago
Applications closedMaltex AI
Remote
New York, United States (UTC-5)
School districts and corporate L&D teams that license our adaptive learning platform have one question above all others: did the learners actually lea...
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Posted 4 months ago
Applications closedMendra Intelligence
Remote
New York, United States (UTC-5)
Shell companies exist to obscure who actually controls an asset. A sanctioned individual owning 24% of a holding company that owns 33% of an operating...
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Posted 4 months ago
Applications closedMevra Labs
Remote
Berlin, Germany (UTC+1)
Our conversational AI platform powers customer service bots for 95 enterprise clients. Every bot has tens of thousands of conversations per week. How...
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Posted 4 months ago
Applications closedGradrix Works
Remote
New York, United States (UTC-5)
Our clients include 18 regional banks and 7 credit unions who have been underwriting consumer and SMB loans with the same FICO-centric models for fift...
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Posted 4 months ago
Applications closedGravex Cloud
Remote
Chicago, United States (UTC-6)
Three months ago, a model in production was making predictions that degraded silently for 11 days before anyone noticed. The postmortem showed the roo...
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Posted 4 months ago
Applications closedHalvex Data
Remote
Chicago, United States (UTC-6)
Black Friday. Valentine's Day. The week before Thanksgiving. Back-to-school. These demand spikes are predictable — but predicting their magnitude prec...
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Posted 4 months ago
Applications closedHalvio Tech
Remote
New York, United States (UTC-5)
Content teams produce. Content rarely knows if it worked. Our platform serves 160 B2B content marketing teams, and the gap between 'we published 40 pi...
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Posted 4 months ago
Applications closedHelvex Studio
Remote
Los Angeles, United States (UTC-8)
Simulating a crowd of 50 hand-animated characters looks expensive. Simulating a believable crowd of 50,000 requires a fundamentally different approach...
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Explore opportunities built for candidates in LLM systems, machine learning, MLOps, automation, and applied AI delivery.
Review remote-friendly roles across freelance, contract, part-time, and full-time hiring models.
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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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