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 5 months ago
Applications closedJoltura Labs
Remote
New York, United States (UTC-5)
ML engineers know their model is slow but can't tell you why. Is it the attention layers? The tokenizer? The data loading? The GPU memory thrashing? O...
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Posted 5 months ago
Applications closedJorvex Studio
Remote
New York, United States (UTC-5)
A brand needs 150 ad creative variations per campaign: different headlines, body copy, CTAs, and visual descriptions for each platform (Instagram squa...
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Posted 5 months ago
Applications closedKelvix Systems
Remote
Chicago, United States (UTC-6)
Predicting crop yields months before harvest transforms how agricultural supply chains operate — commodity traders price futures, food companies plan...
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Posted 5 months ago
Applications closedKlavio Works
Remote
Berlin, Germany (UTC+1)
Language learning apps need thousands of exercises — fill-in-the-blank, sentence reordering, translation prompts, listening comprehension — and each o...
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Posted 5 months ago
Applications closedKolvex Cloud
Remote
New York, United States (UTC-5)
Reserved instances save 40-60% versus on-demand pricing, but buying the wrong reservations locks you into commitments that waste more money than they...
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Posted 5 months ago
Applications closedKrato AI
Remote
New York, United States (UTC-5)
Product-led growth means the product sells itself — but only if you run the right experiments. Which onboarding flow converts more trial users? Does s...
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Posted 5 months ago
Applications closedLamion Solutions
Remote
New York, United States (UTC-5)
Healthcare organizations need to share patient data for research, but HIPAA requires removing 18 categories of protected health information first. Man...
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Posted 5 months ago
Applications closedLontex Tech
Remote
New York, United States (UTC-5)
Not every question needs GPT-4. A simple classification task runs fine on a smaller model at 1/20th the cost. A code generation request needs a code-s...
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Posted 5 months ago
Applications closedLumio Systems
Remote
Los Angeles, United States (UTC-8)
GPU out-of-memory errors are the most frustrating part of ML development. The error message says "CUDA out of memory" but doesn't tell you where your...
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Posted 5 months ago
Applications closedLyrex Data
Remote
London, United Kingdom (UTC+0)
A data catalog is only as good as its metadata. If table descriptions are vague, column names are cryptic, and ownership is unassigned, the catalog be...
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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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