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AI Agent Security Research Engineer

Open 24d

You will design and implement multi-agent code-auditing systems for vulnerability detection, malicious-code identification, and sensitive-information leakage. You will integrate RAG and agent techniques into security audits, develop DevSecOps pipeline plugins, protect LLM applications, automate threat-response workflows, and build scalable agent services and detection APIs.

Responsibilities

  • Design and implement a multi-agent collaborative code-auditing system for vulnerability detection, malicious-code identification, and sensitive-information leakage.
  • Lead planner, executor, and critic role decomposition, tool-invocation chains, and cross-agent state synchronization design.
  • Integrate RAG, Chain-of-Thought, and Reflection techniques into security audit agents.
  • Optimize detection accuracy and recall, and establish a quantifiable evaluation and iteration framework.
  • Develop GitLab CI/CD, Tekton, and Jenkins plugins to enable audit-on-commit workflows.
  • Build security protections for LLM applications across input, output, and runtime layers.
  • Develop agent workflows for alert classification, contextual correlation, false-positive filtering, and threat-intelligence retrieval.
  • Design human-machine intervention mechanisms and agent behavior audit systems.
  • Construct highly available, scalable agent services for concurrent scanning-task scheduling and fault tolerance.
  • Standardize detection APIs and build rule management, result visualization, and false-positive feedback systems.

Requirements

  • 3+ years of backend development experience.
  • Proficiency in at least one of Python, Go, or Java.
  • Hands-on experience deploying LLM agents in production.
  • Experience with AI security, including prompt injection, jailbreaking, malicious agent injection, and tool misuse defenses.
  • Familiarity with at least one agent framework: LangChain, LlamaIndex, AutoGen, CrewAI, or LangGraph.
  • Production project experience with an agent framework.
  • Proficiency in Docker and Kubernetes.
  • Expertise in microservices architecture design and deployment.

Benefits

  • Competitive total compensation package.
  • Learning and development programs.
  • Education subsidy.
  • Team-building programs and company events.
  • Wellness and meal allowances.
  • Comprehensive healthcare schemes for employees and dependants.

See also

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