Offensive AI Engineer - Security Agent Systems (SF)

Parameter

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Parameter builds AI agents that perform autonomous offensive security testing on production apps and cloud environments. You will design reasoning loops, tool interfaces, and memory architecture so an LLM behaves like a skilled offensive security researcher, not a mere fuzzer.

Expect to work across product areas with a small team that encourages hands-on contribution. The role emphasizes production LLM systems, cost control, and fast iteration in a fast-moving security-focused company.

Qualifications

  • 3+ years of software engineering experience, with production LLM systems.
  • Strong TypeScript skills and experience with async and distributed systems.
  • Experience designing eval harnesses and understanding production metrics.
  • Ability to improve agent reliability and reduce false positives.
  • Bonus: security/CTF background or bug bounty history.

Responsibilities

  • Design and ship agent workflows in LangGraph and Temporal for multi-step exploitation chains.
  • Build the tool layer the agents operate through: HTTP clients, auth, browser control, cloud enumeration, payload generation.
  • Own the eval loop and define success metrics to improve agent runs.
  • Reduce false positives and optimize reliability for customers.
  • Manage inference cost and latency across models and platforms.

Skills

TypeScript
Distributed systems
Workflow orchestration
LLM systems
Performance monitoring

Tools

LangGraph
Temporal
Braintrust
Langfuse
Claude
Bedrock
GCP
AWS

Job description

Parameter builds AI agents that perform autonomous offensive security testing on production apps and cloud environments. You will design reasoning loops, tool interfaces, and memory architecture so an LLM behaves like a skilled offensive security researcher, not a mere fuzzer.

Expect to work across product areas with a small team that encourages hands-on contribution. The role emphasizes production LLM systems, cost control, and fast iteration in a fast-moving security-focused company.

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