AI & ML Engineering
Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
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Posted 5 months ago
Applications closedLontex Tech
Remote
New York, United States (UTC-5)
Context windows are getting longer, but the fundamental economics remain unchanged: longer contexts cost more per token, and most tokens in a long con...
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Posted 5 months ago
Applications closedLumio Systems
Remote
Chicago, United States (UTC-6)
Deploying a new model version is rarely just about the model. It touches the inference service, the feature pipeline that feeds it, the downstream ser...
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Posted 5 months ago
Applications closedLyrex Data
Remote
New York, United States (UTC-5)
Data teams build datasets, pipelines, and dashboards — but they rarely measure whether anyone actually uses them. A pipeline that runs daily and serve...
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Posted 5 months ago
Applications closedMaltex AI
Remote
New York, United States (UTC-5)
An AI tutor that explains a concept clearly once is useful. An AI tutor that notices when the student is confused, adapts its explanation approach, pr...
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Posted 5 months ago
Applications closedMendra Intelligence
Remote
New York, United States (UTC-5)
Trade-based money laundering — manipulating international trade invoices to move value across borders — is estimated to account for $1.6 trillion in i...
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Posted 5 months ago
Applications closedMevra Labs
Remote
Los Angeles, United States (UTC-8)
A long conversation history is both an asset and a liability. The asset: rich context about what the user has said, tried, and decided. The liability:...
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Posted 5 months ago
Applications closedGradrix Works
Remote
New York, United States (UTC-5)
Velocity abuse is fraud in slow motion. A single account makes 3 transactions per day — nothing alarming. Zoom out and you see 8,000 accounts followin...
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Posted 5 months ago
Applications closedGravex Cloud
Remote
Chicago, United States (UTC-6)
A data scientist runs an experiment in January, gets a great result, and moves on to the next project. Six months later, a colleague tries to reproduc...
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Posted 5 months ago
Applications closedHalvex Data
Remote
Chicago, United States (UTC-6)
A refrigerated truck carrying $400,000 of pharmaceutical products experiences a compressor failure at 2 AM. The temperature creeps up 3 degrees over 6...
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Posted 5 months ago
Applications closedHalvio Tech
Remote
Berlin, Germany (UTC+1)
Translating content is not the same as adapting it. A marketing email that performs well in English may fall flat in Japanese not because of translati...
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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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