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 1 month ago
Applications closedRolvex Solutions
Hybrid
Lisbon, Portugal (UTC+0)
Every model deployment at Rolvex Solutions follows a runbook, and too many of those runbooks are still a list of commands that someone copies by hand...
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Posted 1 month ago
Applications closedXivio Solutions
Remote
Los Angeles, United States (UTC-8)
Our customers run multi-day training jobs on spot and preemptible GPUs to save money, and they lose hours of progress every time a node disappears. Xi...
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Posted 1 month ago
Applications closedPaleon Data
Remote
Sydney, Australia (UTC+11)
Grid operators know how to forecast normal summer demand. Heatwaves are a different story: air conditioning load spikes, rooftop solar output drops in...
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Posted 1 month ago
Applications closedOrbio AI
Remote
Denver, United States (UTC-7)
We believe better diagnostics should reach every hospital, not only the top academic centers. Orbio AI builds decision support for pathologists, and w...
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Posted 1 month ago
Applications closedQuelion Cloud
Remote
Dublin, Ireland (UTC+0)
The team: 22 engineers, four ML scientists and a design lead, all working on search infrastructure used by e-commerce and SaaS companies. The product:...
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Posted 1 month ago
Applications closedSelvix Works
Remote
New York, United States (UTC-5)
Signed contracts don't end when the ink dries. Renewal windows, price escalators, audit rights and notice periods sit buried in thousands of PDFs, and...
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Posted 1 month ago
Applications closedBolvex Solutions
Hybrid
Chicago, United States (UTC-6)
Our mission is to catch patient deterioration hours earlier than it is caught today. Bolvex Solutions builds early-warning models used in 14 partner h...
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Posted 1 month ago
Applications closedLontex Tech
Remote
Warsaw, Poland (UTC+1)
Hugging Face models, PyTorch training loops and MLflow tracking are the daily tools here. Lontex Tech runs LLM infrastructure for software companies,...
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Posted 1 month ago
Applications closedMendra Intelligence
On-site
Singapore, Singapore (UTC+8)
Money mule networks move stolen funds through ordinary-looking retail accounts, and by the time a bank notices, the money is usually gone. Mendra Inte...
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Posted 1 month ago
Applications closedIntevo AI
Hybrid
Berlin, Germany (UTC+1)
We work with 35 online marketplaces across Europe, from second-hand fashion to B2B spare parts, and most of them are trying to understand the same thi...
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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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Narrow your search to roles that match your strongest technical skill, from LangChain and PyTorch to Kubernetes and SQL.
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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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