AI & ML Engineering
Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
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Browse language-first AI roles covering LLM apps, RAG systems, prompt design, evaluation, and agent workflows.
NLP and prompt engineering jobs are a strong fit for candidates who want to work on LLM products, retrieval systems, assistants, and language-driven user experiences.
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LangChain, custom retrievers, and a growing vector index are the backbone of our RAG stack. We need someone who can benchmark retrieval latency across...
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Our attribution models are only as good as the campaign narratives we can extract from unstructured marketing reports, and right now most of that extr...
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We publish internally on prompt design patterns and encourage the team to share findings at audio-tech meetups, since a lot of what we learn generatin...
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We don't care where you work from. We care about clear communication, steady output, and whether your prompt changes actually reduce chatbot escalatio...
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Our clients include procurement teams at mid-market manufacturers who are drowning in unstructured supplier emails, contract PDFs, and spend reports....
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Our clients include compliance teams at regional banks who need every flagged transaction narrative to be explainable in plain language during an exam...
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You'll be the fifth NLP hire on a trust and safety team of fourteen, working directly with our marketplace integrity lead to catch review manipulation...
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LangChain, Hugging Face models, and a home-grown retrieval layer are the core of our search stack. If you've spent time making search engines understa...
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The prompts you write will run in front of 40,000 daily translation requests across 22 languages. That's the honest scale of the AI Localization Promp...
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You'll be the second prompt-focused hire on a team of nine, working directly with our accessibility research lead to make screen-reader-friendly AI ou...
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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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