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Asymptote Labs

Runtime infrastructure for AI agents

Founding Engineer, Security

Security Operations & Incident ResponseConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • At least 5 years of experience in security engineering, detection engineering, security infrastructure, backend engineering for security products, or adjacent fields.
  • Strong software engineering skills and experience building production systems.
  • Deep understanding of security fundamentals across identity, authentication, authorization, networks, cloud infrastructure, endpoints, or application security.
  • Experience working with security telemetry and turning large volumes of events into useful security signals.
  • Ability to think adversarially and understand how attackers abuse complex systems.
  • Experience designing and operating distributed systems, data pipelines, or security infrastructure in production.
  • Comfort moving between low-level technical investigation and high-level system design.
  • High agency and enthusiasm for building core infrastructure from the ground up.

Responsibilities

  • Design and build systems that ingest, normalize, and analyze high-volume AI agent activity.
  • Develop security primitives that turn raw agent telemetry into useful detections, investigations, and response actions.
  • Build infrastructure that operates reliably across developer environments, continuous integration and continuous delivery systems, cloud infrastructure, and enterprise AI deployments.
  • Design systems that reason about identities, tools, permissions, resources, and actions across complex agent workflows.
  • Translate emerging attack techniques into production-grade detections.
  • Develop detections for prompt injection, tool abuse, privilege escalation, credential theft, data exfiltration, malicious MCPs, agent persistence, and other emerging threats.
  • Build behavioral detection systems that identify suspicious sequences of agent activity rather than relying only on static indicators.
  • Develop infrastructure for rapidly deploying, evaluating, and improving new detections.
  • Determine which security-relevant signals need to be captured across AI agents and the systems they interact with.
  • Build integrations across coding agents, MCP servers, developer tooling, continuous integration pipelines, cloud environments, and enterprise infrastructure.
  • Design schemas and data models capable of representing agent activity across heterogeneous systems.
  • Make telemetry collection performant, reliable, and useful for real-world investigations.
  • Build systems security teams use to understand what an agent did, why it happened, and what was affected.
  • Develop investigation primitives for reconstructing complex agent activity across tools and environments.
  • Build response mechanisms that allow security teams to contain malicious or compromised agents.
  • Create workflows that turn detections into actionable security outcomes rather than another stream of alerts.
  • Partner closely with the security research team to reproduce emerging attacks and turn them into product capabilities.
  • Build adversarial environments for testing Asymptote against real attack techniques.
  • Develop evaluation frameworks for measuring detection quality, false positives, and coverage.
  • Contribute security tooling and infrastructure back to Beacon where appropriate.
  • Work directly with the founders to define Asymptote's architecture and product direction.
  • Talk with security teams at enterprise design partners to understand how AI agents are changing their environments.
  • Help determine which security problems to solve, which abstractions to build, and where to invest technically.
  • Own major parts of the product from initial design through production deployment.

Desired Qualifications

  • Experience building endpoint detection and response, security information and event management, cloud security, detection and response, or security analytics products.
  • Experience writing production detection logic or behavioral detections.
  • Experience with AI agents, large language model infrastructure, MCP, coding assistants, or AI security.
  • Experience with extended Berkeley Packet Filter, endpoint telemetry, runtime security, or system instrumentation.
  • Experience building high-volume event ingestion or streaming systems.
  • Experience investigating real-world attacks or working closely with incident response or threat research teams.
  • Open-source security contributions or security tooling used by other practitioners.
  • Experience building security products from an early stage.

About the Company

Asymptote Labs

Runtime infrastructure for AI agents

Asymptote Labs provides runtime infrastructure for AI agents, including a shared runtime data layer and an enterprise platform that gives organizations real-time visibility and control over AI agents across tools and environments. Beacon collects and normalizes agent activity across harnesses, while the enterprise platform enforces policy-driven guardrails and detects risks such as data leakage and insider threats at runtime. It differentiates itself by offering real-time, cross-harness governance with an open telemetry layer and centralized policy enforcement, rather than tool-by-tool audits. The goal is to help security teams and regulated organizations safely deploy and manage AI agents with continuous visibility and risk protection across all AI workflows.

Company size
1-10
Company stage
Seed
Total funding
$5.5M
Headquarters
New York City, United States
Founded
2025

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