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Security Engineer, Agent Security

Job in New York, New York County, New York, 10261, USA
Listing for: Plasma AI
Full Time position
Listed on 2026-11-04
Job specializations:
  • IT/Tech
    Cybersecurity, AI Engineer (Applied/Software), Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

We're looking for a security engineer to make sure agents on Plasma stay within the limits users set. You'll build the controls, monitoring, and response that hold those boundaries while agents do consequential work unattended, for hours at a time.

You've secured production systems and want to work on one that existing playbooks don't cover. The role is both research and product: agent security is a young field, so you'll study how agents get misused and ship the defenses into Plasma.

What You'll Work On
  • Threat Modeling
    :
    Map how agents can be attacked or misused, including prompt injection, tool misuse, data exfiltration, and privilege escalation between agents
  • Runtime Controls
    :
    Build the policy enforcement that holds agents to their permissions and budgets, on top of the platform's identity and isolation layers
  • Red Teaming
    :
    Attack Plasma's own systems and fix what you find
  • Detection & Response
    :
    Build monitoring that flags agents acting outside their limits, and the response process that follows
  • Customer Security
    :
    Work with customers' security teams on their reviews, and design Plasma's controls to meet their requirements
What We're Looking For
  • Experience in application, infrastructure, or offensive security, with a record of shipping secure production services
  • Strong programming skills in Python or a systems language such as Go or Rust
  • Experience with isolation techniques such as containers and sandboxing, and with identity-based access control
  • Cloud security experience on at least one major provider
  • Familiarity with attacks specific to LLMs, such as prompt injection, is a plus
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