Grafton Sciences
Senior Agent Systems Engineer
Grafton Sciences, Redwood City, California, United States, 94061
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Senior Agent Systems Engineer
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Grafton Sciences
About Grafton Sciences We’re building AI systems with general physical ability — the capacity to experiment, engineer, or manufacture anything. We believe achieving this is a key step towards building superintelligence. With deep technical roots and real-world progress at scale (e.g., a $42M NIH project), we’re pushing the frontier of physical AI. Joining us means inventing from first principles, owning real systems end‑to‑end, and helping build a capability the world has never had before.
About The Role We’re seeking a Senior Agent Systems Engineer to design and implement the planning, orchestration, and tool‑use behaviors that enable LLMs to reliably operate complex engineering workflows. You’ll build LangGraph planners, deterministic execution flows, action schemas, recovery strategies, and cross‑tool interfaces that allow agents to reason over multi‑step tasks with safety and reproducibility. This role is for someone who thrives at the intersection of language models, structured schemas, tool interfaces, and real system constraints.
Responsibilities
Build agent planners, tool‑call flows, and state machines using LangGraph or similar frameworks.
Design schemas, action adapters, and cross‑tool interfaces that enable deterministic, traceable LLM tool use.
Implement error handling, timeout strategies, retries, rollbacks, and replay mechanisms for robust agent behavior.
Collaborate closely with systems architecture, data infrastructure, and ML teams to integrate agents into real engineering toolchains.
Qualifications
Strong experience building agent systems, LLM tool‑calling pipelines, or structured orchestration frameworks.
Deep intuition for schemas, action abstractions, reproducibility, and deterministic execution of multi‑step workflows.
Ability to reason about system‑level failure modes, edge cases, and safe tool interaction in complex environments.
Comfortable working across AI, systems engineering, and domain‑tooling interfaces in a fast‑moving, high‑precision setting.
Above all, we look for candidates who can demonstrate world‑class excellence.
Compensation We offer competitive salary, meaningful equity, and benefits.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
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Senior Agent Systems Engineer
role at
Grafton Sciences
About Grafton Sciences We’re building AI systems with general physical ability — the capacity to experiment, engineer, or manufacture anything. We believe achieving this is a key step towards building superintelligence. With deep technical roots and real-world progress at scale (e.g., a $42M NIH project), we’re pushing the frontier of physical AI. Joining us means inventing from first principles, owning real systems end‑to‑end, and helping build a capability the world has never had before.
About The Role We’re seeking a Senior Agent Systems Engineer to design and implement the planning, orchestration, and tool‑use behaviors that enable LLMs to reliably operate complex engineering workflows. You’ll build LangGraph planners, deterministic execution flows, action schemas, recovery strategies, and cross‑tool interfaces that allow agents to reason over multi‑step tasks with safety and reproducibility. This role is for someone who thrives at the intersection of language models, structured schemas, tool interfaces, and real system constraints.
Responsibilities
Build agent planners, tool‑call flows, and state machines using LangGraph or similar frameworks.
Design schemas, action adapters, and cross‑tool interfaces that enable deterministic, traceable LLM tool use.
Implement error handling, timeout strategies, retries, rollbacks, and replay mechanisms for robust agent behavior.
Collaborate closely with systems architecture, data infrastructure, and ML teams to integrate agents into real engineering toolchains.
Qualifications
Strong experience building agent systems, LLM tool‑calling pipelines, or structured orchestration frameworks.
Deep intuition for schemas, action abstractions, reproducibility, and deterministic execution of multi‑step workflows.
Ability to reason about system‑level failure modes, edge cases, and safe tool interaction in complex environments.
Comfortable working across AI, systems engineering, and domain‑tooling interfaces in a fast‑moving, high‑precision setting.
Above all, we look for candidates who can demonstrate world‑class excellence.
Compensation We offer competitive salary, meaningful equity, and benefits.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
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