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Remote AI Workflow Engineer Jobs

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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Jobs & Projects

Nebius
senior
Full-time
English
machine learning python machine learning llm
Open job
F

Posted 11 hours ago

Web Automation Engineer

Full-time
English
javascript python llm typescript web scraping
Open job
F

Posted 12 hours ago

Agent Experience Engineer

Full-time
English
a/b testing llm
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Helsing
Full-time
English
Open job
F

Posted 13 hours ago

Product Engineer - Agent

Full-time
English
Open job
Tensorwave
lead
Full-time
English
Open job
Prolific
senior
Full-time
English
python sql mlops kubernetes typescript +2 more
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Vannevarlabs
senior
Full-time
English
machine learning langgraph ai agents
Open job
Vannevarlabs
Full-time
English
Open job
Vannevarlabs
Full-time
English
python aws node.js ci/cd typescript +2 more
Open job

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AI & ML Engineering

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NLP & Prompt Engineering

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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

What is an AI workflow job?

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.

What is the difference between AI workflows and automation?

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.

What skills do AI workflow engineers need?

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.

How much do remote AI workflow jobs pay?

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.

Are AI workflow jobs remote-friendly?

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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