Agent Systems Engineer (Fully Remote)

Adaption

United States

Remote

USD 120,000 - 160,000

Full time

3 days ago
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Job summary

Adaption is seeking an experienced AI/backend engineer to design agent architectures and build production ML and backend systems for real-world use cases. You will contribute to the development of agents that operate under constraints such as incomplete information, external failures, and limited budgets.

Responsibilities include designing agent architectures for planning, reasoning, tool use, memory, and integration with external systems, and improving reliability on long-running tasks through

Qualifications

  • 5+ years building production ML or backend systems, including LLM or agent applications from prototype to production.
  • Strong understanding of agent design and experience with evaluation systems and observability.

Responsibilities

  • Design agent architectures for planning, reasoning, tool use, memory, and integration with external systems.
  • Improve reliability on long-running tasks, including failure recovery and building loops for continuous improvement.

Skills

Production ML
Backend systems
LLM/Agent experience
Agent design understanding
Observability & evaluation

Job description

  • Build agent systems that turn customer goals into reliable multi-step execution across real tools and services.
  • Work on agents that operate under real constraints like incomplete information, external failures, and limited budgets.

Responsibilities:

  • Design agent architectures for planning, reasoning, tool use, memory, and integration with external systems.
  • Improve reliability on long-running tasks, including failure recovery and building loops for continuous improvement.

Qualifications:

  • 5+ years building production ML or backend systems, including LLM or agent applications from prototype to production.
  • Strong understanding of agent design and experience with evaluation systems and observability.
Adaption

Adaption builds AI systems that evolve in real-time, making them flexible and personalized. They are a global-first team focused on talent density and collaboration.

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