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Browse vetted remote roles building autonomous AI agents — tool-use, multi-agent orchestration, and production agentic systems that go beyond chatbots.
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Posted 1 hour ago
Who We Are:Materialize is the live context layer for AI agents and applications. Materialize lets engineering teams use SQL to transform siloed operat...
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Posted 2 hours ago
About EmaEma builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboa...
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Posted 4 hours ago
About EmaEma builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboa...
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Posted 5 hours ago
About EmaEma builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboa...
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Posted 5 hours ago
Apify is the largest marketplace of tools for AI. On Apify Store, tens of thousands of Actors, purpose-built tools for the web, help people and AI age...
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Posted 6 hours ago
About EmaEma builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboa...
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Posted 6 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 6 hours ago
The RoleAs the first Security hire at Nous Research, you'll build and own security end-to-end across our infrastructure, products, and enterprise depl...
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Posted 6 hours ago
Apify is the largest marketplace of tools for AI. Thousands of Actors helping people and agents get real-time web data, track competitors, generate le...
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Posted 7 hours ago
Apify is the largest marketplace of tools for AI. On Apify Store, tens of thousands of Actors, purpose-built tools for the web, help people and AI age...
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Role guide
AI agent engineering covers systems that plan, use tools, and take multi-step actions autonomously — a step beyond single-turn LLM calls. Remote agent roles involve designing tool-use interfaces, managing agent memory and state, and — the part most tutorials skip — building the guardrails that keep an autonomous system from doing something costly when it goes wrong.
What remote AI agent jobs are posted on RemoteAI?
Roles building autonomous or semi-autonomous LLM systems — task planning, tool-use, and multi-agent orchestration. Most require production LangChain or equivalent framework experience, not just prototype-level agent demos.
How is AI agent engineering different from regular LLM application work?
Agents make multi-step decisions and take actions with real consequences, so the engineering focus shifts toward reliability, guardrails, and failure handling — a badly-designed agent that calls the wrong tool or loops indefinitely is a production incident, not just a bad response.
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