Note: The job is a remote job and is open to candidates in USA. Bishop Fox is the leading authority in offensive security, providing innovative solutions in security assessments. They are seeking a Staff AI Software Engineer to design and build intelligent autonomous security testing agents that can identify vulnerabilities and operate reliably in production environments.
Responsibilities
- Design and build intelligent autonomous security testing agents using large language models and cutting-edge AI/ML techniques
- Create systems that can autonomously perform reconnaissance, identify vulnerabilities, and execute sophisticated attack chains
- Push the boundaries of what's possible when artificial intelligence meets offensive security
- Build robust planning, tool-use, and failure-handling mechanisms for agents operating in real-world, unpredictable applications
- Develop services that think and act like elite attackers, but operate 24/7 across thousands of targets
- Transform manual testing processes into intelligent, scalable automation pipelines
- Build systems that continuously evolve and improve their attack strategies
- Implement long-running agent memory and context management so agents retain state, avoid redundant actions, and accumulate application knowledge
- Connect your AI agents into Bishop Fox's Cosmos cloud platform
- Scale your creations to serve Fortune 100 clients with enterprise-level reliability
- Design architectures that can handle massive concurrent testing operations
- Develop browser and application interaction infrastructure that enables agents to navigate, interact with, and test modern web applications
- Prototype breakthrough approaches to AI-driven security testing
- Build sophisticated feedback loops that make your agents smarter over time
- Implement safety mechanisms and ethical guardrails for responsible AI deployment
- Measure, iterate, and continuously enhance agent performance
- Design evaluation and monitoring systems that distinguish real vulnerabilities from false positives or hallucinated findings
- Work directly with world-class penetration testers and security researchers
- Partner with data scientists and AI specialists to solve novel technical challenges
- Contribute to a team culture where hacking expertise meets cutting-edge artificial intelligence
- Apply real-world production feedback from customer environments to refine agent behavior and system reliability
Skills
- 7+ years of software engineering experience with a track record of shipping production systems
- Deep AI/ML expertise – hands-on experience with LLMs, agent frameworks (LangChain, AutoGPT, CrewAI), or autonomous AI systems
- Advanced programming skills in Python and Golang with clean, scalable code practices
- Full-stack capabilities – comfortable building robust APIs, designing database schemas, and working with modern frontend frameworks (React/TypeScript experience valued)
- Practical experience designing, evaluating, and improving agent reliability, including handling failures, edge cases, and non-deterministic behavior
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes)
- Understanding of CI/CD pipelines and DevOps practices for reliable deployments
- Ability to architect systems that can scale from prototype to enterprise-grade solutions
- Must be based in the San Francisco Bay Area; remote-first with occasional, ad hoc in-office meetings only when necessary
- Experience in penetration testing, red teaming, ethical hacking, or security research
- Understanding of common vulnerabilities, attack vectors, and security frameworks
- Knowledge of security tools and methodologies (but we'll teach you what you don't know!)
- Open-source contributions, especially in AI/automation or security domains
- Hackathon victories or compelling side projects that demonstrate your creativity
- Experience in startup environments or greenfield product development
- Publications, talks, or thought leadership in AI or security communities
- Familiarity with multi-agent systems, reinforcement learning, or swarm intelligence
- Experience with vector databases, RAG pipelines, or advanced prompt engineering
- Understanding of AI safety, alignment, and responsible AI development practices
Benefits
- Generous Time Off and Company-Wide Holidays
- Health Insurance options including Medical, Dental, Vision
- Retirement; 401k matching for Traditional and Roth accounts in the US
- Work From Home Support
- Monthly allowance for cell phone and internet
- Training Budget
- Paid Parental Leave
Company Overview