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.
RemoteAI helps AI professionals find high-quality remote AI jobs, including prompt engineer jobs, prompt engineering roles, and broader positions across the modern AI stack.
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Posted 6 months ago
Applications closedRemote / London
London, United Kingdom (UTC+0)
We are a 200-person professional services company with too many manual processes. We need a lead who can run process discovery workshops, prioritise a...
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Posted 6 months ago
Applications closedRemote
Los Angeles, United States (UTC-8)
We are a small research lab building foundation models for scientific discovery. We need a research engineer who can implement and extend cutting-edge...
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Posted 6 months ago
Applications closedRemote
Chicago, United States (UTC-6)
Our e-commerce platform processes millions of transactions monthly and we need a data scientist who can build predictive models around customer behavi...
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Posted 6 months ago
Applications closedRemote
New York, United States (UTC-5)
We are an AI-native startup and we need a principal data scientist who can operate at the highest level — setting technical direction, mentoring the t...
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Posted 6 months ago
Applications closedRemote
New York, United States (UTC-5)
We have been building automations in Make.com (Integromat) for two years and need a dedicated workflow engineer to clean up our existing scenarios, bu...
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Context: we serve 1.2 million users. Our AI features handle 300,000 requests per day. Our P95 latency for LLM calls is currently 4.2 seconds. Our targ...
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Posted 6 months ago
Applications closedRemote (EU/CH)
Zurich, Switzerland (UTC+1)
We run a supply chain optimisation platform for mid-size manufacturers. Our forecasting models generate 72-hour demand predictions used directly in pr...
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Imagine having a front-row seat to how AI is actually changing business operations — not in theory, not in a research paper, but live, in companies tr...
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We're a five-person team building an AI-powered resume screening tool used by real HR teams at mid-sized companies. The stack is Python, Scikit-learn,...
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You've shipped models to production. You know the difference between a model that performs well in a notebook and one that holds up when real users an...
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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.
Spend less time on generic boards and more time reviewing openings tied to real AI work and practical shipping needs.
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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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