AI & ML Engineering
Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
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Browse roles for specialists building AI-powered workflows, automation systems, integrations, and internal tools.
Automation and AI workflow jobs are a great fit for candidates who enjoy connecting tools, removing manual work, and building practical systems across teams.
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Real estate listing descriptions are the worst. Every third one says 'charming' and 'move-in ready.' Our clients are residential brokerages and iBuyer...
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Our automated captioning system generates subtitles for 40,000 video minutes per month across educational, corporate, and media clients. WCAG 2.2 requ...
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Posted 4 months ago
United States — Chicago (UTC-5)
We just closed our Series B and are scaling our industrial AI platform into the automotive and electronics manufacturing sectors. The expansion means...
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Insurance claims processing runs on forms: ACORD forms, CMS-1500s, UB-04s, custom state-specific variants. Our clients process 40,000 form submissions...
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Cold chain failures cost the pharmaceutical industry $35 billion annually. A temperature excursion lasting 4 hours during a transcontinental shipment...
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Contract management is 80% mechanical and 20% judgment. The mechanical parts — clause extraction, obligation tracking, renewal date alerting, counterp...
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Pixel-diff visual regression catches when something changed. What it doesn't tell you is whether the change matters. A layout shift of 2px on a deskto...
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Podcasters spend 3 hours post-processing for every hour of content they record: editing out filler words, adding chapter markers, writing show notes,...
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Canary deployments exist to catch problems before they affect 100% of traffic. The problem is that most canary analysis is manual: an engineer watches...
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Legal research has a well-known efficiency problem: junior associates at law firms spend 40-60% of their billable hours finding and summarizing cases....
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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.
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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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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.
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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.
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