Specular.ai
Founding Security Engineer
Specular.ai, San Francisco, California, United States, 94199
Create goal-oriented AI agents capable of executing multi-step offensive security workflows to help our customers identify, prioritize, and remediate vulnerabilities.Build and optimize a cloud-native framework that leverages AWS services to support AI-powered offensive security workflows at scale.Integrate cutting-edge LLM models with cybersecurity tools and datasets to simulate traditional human-driven workflows.Continuously refine and expand the capabilities of Specular to help our customers stay ahead of e-crime and nation state cyber attacks.Collaborate closely with our customers to understand their unique security challenges, gather feedback on existing tools, and identify opportunities for improvement.Required Experience
Offensive Experience:
3+ years
of experience in offensive security, red teaming, or penetration testing.Software Engineering:
Proficient in Python, Bash, PowerShell, and AWS services (ECR/ECS, Lambda, S3, etc) to automate attacks.Red Teaming / Penetration Testing Experience:
Expertise in simulating e-crime or advanced persistent threat (APT) scenarios to test enterprise security defenses.Attack Simulation (External):
Experience analyzing and exploiting organization network perimeters with a focus on web applications, cloud, and other common enterprise applications.Attack Simulation (Internal):
Experience with reconnaissance, privilege escalation, lateral movement, and exfiltration within Active Directory, Cloud (AWS/Azure/GCP), and hybrid networks.Vulnerability Analysis:
Experience with traditional vulnerability scanners and tools like NMAP, Nessus, Qualys, Nuclei, Burpsuite, etc.Vulnerability Exploitation:
Familiarity with identifying and exploiting a wide array of vulnerabilities across different operating systems and architectures.Reporting and Communication:
Skilled in writing findings and recommendations to convey technical concepts to senior leadership and non-security personnel.Bonus Points Experience
Prompt Engineering:
Skilled in crafting effective prompts to optimize the performance of language models and enhance AI-driven applications.Large Language Models (LLM) Frameworks:
Practical experience with at least
one of the popular frameworks
such as:
LangChain : For building applications with large language models.LlamaIndex : For developing and deploying language models.AutoGen : For creating agentic workflows.
API Development:
Expertise in designing and implementing RESTful APIs to facilitate communication between different components of the AI system.Compliance Frameworks:
Familiarity with offensive security operations in the context of compliance frameworks like PCI-DSS, HIPAA, and SOC 2.Compensation
The base salary range for this position in the U.S. is $150,000 - $225,000 per year + equity + benefits.
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Offensive Experience:
3+ years
of experience in offensive security, red teaming, or penetration testing.Software Engineering:
Proficient in Python, Bash, PowerShell, and AWS services (ECR/ECS, Lambda, S3, etc) to automate attacks.Red Teaming / Penetration Testing Experience:
Expertise in simulating e-crime or advanced persistent threat (APT) scenarios to test enterprise security defenses.Attack Simulation (External):
Experience analyzing and exploiting organization network perimeters with a focus on web applications, cloud, and other common enterprise applications.Attack Simulation (Internal):
Experience with reconnaissance, privilege escalation, lateral movement, and exfiltration within Active Directory, Cloud (AWS/Azure/GCP), and hybrid networks.Vulnerability Analysis:
Experience with traditional vulnerability scanners and tools like NMAP, Nessus, Qualys, Nuclei, Burpsuite, etc.Vulnerability Exploitation:
Familiarity with identifying and exploiting a wide array of vulnerabilities across different operating systems and architectures.Reporting and Communication:
Skilled in writing findings and recommendations to convey technical concepts to senior leadership and non-security personnel.Bonus Points Experience
Prompt Engineering:
Skilled in crafting effective prompts to optimize the performance of language models and enhance AI-driven applications.Large Language Models (LLM) Frameworks:
Practical experience with at least
one of the popular frameworks
such as:
LangChain : For building applications with large language models.LlamaIndex : For developing and deploying language models.AutoGen : For creating agentic workflows.
API Development:
Expertise in designing and implementing RESTful APIs to facilitate communication between different components of the AI system.Compliance Frameworks:
Familiarity with offensive security operations in the context of compliance frameworks like PCI-DSS, HIPAA, and SOC 2.Compensation
The base salary range for this position in the U.S. is $150,000 - $225,000 per year + equity + benefits.
#J-18808-Ljbffr