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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 month ago
Life at UiPathThe people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating catego...
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Posted 1 month ago
ABOUT BASETENBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Ga...
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Posted 1 month ago
About UsAt LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping d...
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Posted 1 month ago
Why HarveyAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, a...
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Posted 1 month ago
About the TeamThe AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with...
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Posted 1 month ago
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training...
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Posted 2 months ago
About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieva...
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Posted 2 months ago
About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-...
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Posted 2 months ago
We are an applied AI lab building end-to-end software agents.We're the makers of Devin, the first AI software engineer. Our team is extremely talent-d...
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Posted 2 months ago
About the TeamThe AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with...
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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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