Security Agent Engineer

Anvilogic Inc

144d

About The Position

As a Security Agent Engineer at Anvilogic, you are responsible for designing, building, and deploying AI-powered security agents that autonomously analyze complex cybersecurity data and support incident response workflows. You will combine deep cybersecurity expertise with cutting-edge AI/ML techniques to create intelligent systems that can detect, analyze, and respond to security threats at scale. Working with technologies such as LLMs, agentic frameworks, AWS, Azure, Snowflake, and various security data platforms, you'll build the next generation of autonomous security operations tools.

Requirements

• 5+ years of professional experience with minimum 3+ years in cybersecurity operations
• Excellent written and verbal communication skills
• Hands-on experience with incident response, log forensics, and threat hunting across multiple security platforms
• Proficiency in Python with experience in data analysis, security tooling, or automation
• Experience with LLMs, agentic frameworks (LangChain, CrewAI, AutoGen), and implementing AI patterns (RAG, tool use, multi-agent systems)
• Understanding of cloud security architectures and data platforms (AWS, Azure, Snowflake, Databricks)
• Ability to abstract and systematize cybersecurity methodologies for automated implementation
• Experience with security data formats, log analysis, and threat intelligence

Nice To Haves

• Experience building and deploying production AI/ML systems at scale
• Experience with observability and monitoring tools for AI systems
• Background in malware analysis, digital forensics, or advanced persistent threat (APT) investigations
• Experience in conducting security investigations across multiple data platforms
• Experience with security orchestration platforms (SOAR) and workflow automation
• Knowledge of threat intelligence platforms and automated threat hunting techniques

Responsibilities

• Design, build, and deploy AI-powered security agents for threat detection, incident analysis, and automated response
• Develop agentic workflows that can autonomously perform log forensics, threat hunting, and incident response tasks
• Work with product management teams to translate cybersecurity operational requirements into agent capabilities and performance metrics
• Integrate security agents with existing data lakes, SIEM platforms, and security toolstacks
• Embed security practitioner knowledge and methodologies into agent decision-making processes
• Mentor engineering teams on cybersecurity best practices and agent development patterns
• Collaborate with security operations teams to validate agent outputs and refine detection logic

Benefits

• Competitive salary with equity in the company
• Comprehensive medical, dental, and vision insurance
• Unlimited paid time off policy for work life balance
• 401(k) retirement plan with company match
• Monthly stipend for home internet and cell phone expenses

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees