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 4 months ago
Applications closedSynta Cloud
Remote
Detroit (UTC-5)
When production yield drops from 96% to 91% on a manufacturing line, engineers need to find the root cause before more defective units ship. The data...
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Posted 4 months ago
Applications closedMivex Cloud
Remote
Los Angeles, United States (UTC-8)
A 70B parameter model that fits in theory doesn't always fit in practice. GPU memory fragmentation, activation checkpointing decisions, optimizer stat...
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Posted 4 months ago
Applications closedNavio Tech
Remote
New York, United States (UTC-5)
API documentation that shows static code snippets has a conversion problem: developers read it, feel uncertain, and leave without making their first A...
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Posted 4 months ago
Applications closedNelvix Labs
Remote
Los Angeles, United States (UTC-8)
A speech recognition model trained primarily on American English performs substantially worse on Indian English, Nigerian English, and Scottish Englis...
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Posted 4 months ago
Applications closedNolvex Studio
Remote
New York, United States (UTC-5)
Design tokens are the atomic values that define a visual system: color palettes, typography scales, spacing units, border radii, shadow definitions. W...
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Posted 4 months ago
Applications closedNortex Solutions
Remote
Chicago, United States (UTC-6)
Tables inside PDF documents are the bane of document processing. Financial statements with merged cells. Medical forms with spanning headers. Regulato...
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Posted 4 months ago
Applications closedOntix Intelligence
Remote
Detroit (UTC-5)
Dimensional measurement on a manufacturing line currently requires a human with calipers, a CMM machine with setup time measured in hours, or a struct...
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Posted 4 months ago
Applications closedOrbio AI
Hybrid
New York, United States (UTC-5)
AlphaFold told us what a protein looks like. What it doesn't tell us is what the protein does. Structure-to-function prediction — given a folded prote...
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Posted 4 months ago
Applications closedOrvion Systems
Remote
Chicago, United States (UTC-6)
Cross-docking is the logistics practice where freight arriving at a terminal is immediately sorted and routed outbound without entering storage — redu...
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Posted 4 months ago
Applications closedLontex Tech
Remote
Los Angeles, United States (UTC-8)
Speculative decoding is one of the most impactful LLM serving optimizations of the past two years: use a small draft model to generate candidate token...
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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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