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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 3 days ago
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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Posted 3 days ago
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We...
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Posted 3 days ago
About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We...
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Posted 3 days 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 3 days ago
Unstructured is defining the standard for enterprise data transformation in the age of LLMs and generative AI. In just two years, we've raised over $6...
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Posted 3 days ago
About usOwkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone h...
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Posted 3 days ago
About usOwkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone h...
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Posted 3 days ago
Prefect builds and operates resilient, Pythonic orchestration and MCP platforms -- Prefect OSS, Prefect Cloud, FastMCP OSS, and Horizon -- used for mi...
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Posted 3 days ago
The OpportunityThe unprecedented convergence of multi-modal data, advanced disease modeling, and computational power is revolutionizing drug discovery...
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Posted 4 days ago
Prefect builds and operates resilient, Pythonic orchestration and MCP platforms -- Prefect OSS, Prefect Cloud, FastMCP OSS, and Horizon -- used for mi...
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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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