Menlo Security is hiring a Senior AI Security Engineer to address the emerging security challenges of autonomous AI agents. In this role, you will focus on researching, designing, and implementing novel techniques to detect and mitigate adversarial threats targeting agentic AI systems. You’ll work closely with engineering teams to translate security research into practical, deployable controls.
What You’ll Do
- Research emerging agentic threats: investigate new attack vectors against AI agents, including prompt injection, context poisoning, adversarial content embedding, and misuse of agent planning and reasoning mechanisms.
- Architect scalable agentic workflows: design and implement robust, high-performance pipelines that secure agent-to-web interactions.
- Develop novel detection & mitigation techniques: design and prototype new approaches for identifying malicious prompts, unsafe contextual signals, and adversarial behaviors in LLM-powered agents.
- Implement agent security controls within agentic runtimes, ensuring agents can safely reason over and act on external data sources.
- Partner closely with applied engineers to integrate research-driven security mechanisms into production systems, balancing security effectiveness with agent performance.
- Continuously evaluate the evolving AI threat landscape and anticipate future risks as agent capabilities and autonomy increase.
- Build defensive mechanisms within the browser surrogate to detect and neutralize complex context poisoning and injection attempts embedded in web content.
What We’re Looking For
- A BSc in Computer Science or significant experience in high-scale cloud engineering.
- 3+ years of experience in applied AI, with a proven track record of deploying high scale AI systems in production environments.
- Expert-level Python; deep experience with k8s and cloud-native orchestration; proficiency with advanced data modeling and version control.
- Deep understanding of prompt engineering techniques and how they can be exploited in agentic systems.
- Ability to explore ambiguous problem spaces, experiment with new ideas, and iterate toward effective security solutions.
Nice to Have
- A relevant MSc or PhD is a strong advantage.
- Agentic experience in production environments is an important advantage.
- Significant experience in cybersecurity or browser-related technologies is highly preferred.
- Hands-on experience with orchestration frameworks (e.g., LangChain, AutoGen) and / or standardized communication protocols like MCP.
- Experience building immutable event streams and high-speed data pipelines for real-time traffic analysis.
- Understanding of how web pages are rendered and how to programmatically manipulate the DOM or Accessibility Tree to enhance security.
- A 'security-first' mindset with a bias toward building auditable, traceable, and fault-tolerant systems.
Technical Stack
- Python
- k8s
- Cloud-native orchestration
- LangChain
- AutoGen
- MCP
Team & Environment
You’ll join a collaborative, inclusive, and fun culture built on our core values: Stay Aligned, Get It Done, Customer Empathy, Think Creatively and Help Each Other Out. We believe in open communication, supporting new ideas, and sharing a mutual mindset.
All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
