AI & ML Engineering
Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
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Verified remote roles in AI workflow design — agentic systems, LLM orchestration, internal copilots, and multi-step AI pipeline development at AI-native companies.
AI workflow roles on RemoteAI focus on connecting language model capabilities to real business processes. Companies here need engineers who can design multi-step agentic systems, build reliable LLM orchestration pipelines, and create internal AI tools that hold up in production. These are applied AI positions — not research.
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Posted 11 hours ago
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 11 hours ago
Web Automation EngineerYou'll keep Firecrawl connected to the open web. Every product we ship depends on reliably accessing pages at web scale, and th...
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Posted 12 hours ago
Agent Experience Engineer Firecrawl is looking for a high-agency, product-minded engineer with strong experimental and data instincts to own how agent...
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Posted 12 hours ago
Who we areHelsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societi...
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Posted 13 hours ago
Product Engineer - AgentYou'll build the products developers and AI agents reach for when they need to take action on the web, not just read it. This...
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Posted 17 hours ago
About TensorWaveOur mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform t...
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Posted 22 hours ago
Senior Software Engineer - (Agent Training and Evals) Engineering Prolific Prolific is not just another player in the AI space – we are the archite...
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Posted 23 hours ago
Vannevar builds AI systems for the Department of War's most consequential missions. We have 125 deployments across every branch and combatant command...
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Posted 1 day ago
Vannevar builds AI systems for the Department of War's most consequential missions. We have 125 deployments across every branch and combatant command...
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Posted 1 day ago
Vannevar builds AI systems for the Department of War's most consequential missions. We have 125 deployments across every branch and combatant command...
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Help us review suspicious or misleading job posts. Your report goes directly to RemoteAI.
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Explore opportunities built for candidates in LLM systems, machine learning, MLOps, automation, and applied AI delivery.
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Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
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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.
FAQ
AI workflow roles involve designing and building intelligent systems that chain AI capabilities into reliable, repeatable processes. This includes agentic AI systems, orchestration pipelines, multi-step LLM workflows, and internal copilots that integrate with existing business tools.
Automation typically refers to removing manual steps using rules or scripts. AI workflows go further — they use language models, retrieval systems, and agent frameworks to handle tasks that require reasoning, context, and dynamic decision-making. Many roles now combine both.
Strong candidates typically have experience with LangChain, LlamaIndex, or similar agent frameworks, along with Python, API integration, and prompt engineering skills. Understanding of RAG systems, tool use, and LLM reliability patterns is valuable for senior roles.
Remote AI workflow engineers typically earn $85K–$145K/year. Roles building complex multi-agent systems or orchestration infrastructure often reach $130K–$170K at well-funded AI companies.
Yes. Most AI workflow roles on RemoteAI are remote or remote-first. The nature of the work — designing systems, writing code, and coordinating across tools — is well suited to async distributed teams. Individual listings specify any timezone or location requirements.
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