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 3 months ago
Applications closedLamion Solutions
Remote
New York, United States (UTC-5)
We're building tools that help clinical teams spend less time on paperwork and more time with patients, and we need an applied scientist to push our m...
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Posted 3 months ago
Applications closedMaltex AI
Hybrid
Los Angeles, United States (UTC-8)
Students disengage from adaptive learning tools within the first two weeks far more often than our data suggests they should, and nobody on the team c...
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Posted 3 months ago
Applications closedMendra Intelligence
Remote
London, United Kingdom (UTC+0)
You'll be the second RAG specialist on a small team of six, reporting directly to our head of engineering. What we have already: a working fraud detec...
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Posted 3 months ago
Applications closedNolvex Studio
Remote
Berlin, Germany (UTC+1)
Our mission is to make design systems explainable and searchable for non-technical stakeholders across every team that touches them. You'll join a cro...
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Posted 3 months ago
Applications closedPelvex Tech
Remote
Los Angeles, United States (UTC-8)
We serve over 40 game studios who license our simulation models for balancing and testing. We publish internal writeups on what works and encourage en...
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Posted 3 months ago
Applications closedQuelion Intelligence
Remote
New York, United States (UTC-5)
We just expanded our risk modeling team after a strong year and need to move fast without cutting corners on model safety. Our clients include institu...
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Posted 3 months ago
Applications closedReltrix Studio
Remote
London, United Kingdom (UTC+0)
Have you ever wondered which songs actually keep listeners on a platform versus which ones just get skipped after ten seconds? We don't care where you...
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Posted 3 months ago
Applications closedTalmion Data
Remote
Chicago, United States (UTC-6)
Kubernetes, Docker, and multi-cloud deployment are the backbone of what our personalization team ships every day. We believe recommendation systems sh...
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Posted 3 months ago
Applications closedUelvex Cloud
Remote
Los Angeles, United States (UTC-8)
The models you fine-tune will sit directly in the API layer that thousands of developer accounts call every day. Fast-moving team, real production sta...
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Posted 3 months ago
Applications closedAevix Cloud
On-site
New York, United States (UTC-5)
We serve inference workloads for over 300 model-serving customers who expect five-nines reliability from our GPU fleet. You'll join a cross-functional...
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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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