Tech Stack
AWSCyber SecurityDockerGoJavaScriptPythonReact
About the role
- Build agents and develop methodologies for evaluations to support CrowdStrike’s Red Team and Bug Bounty program
- Develop and implement AI agents and workflows for offensive security applications, including automated web application testing and adversary tradecraft simulation
- Architect and execute comprehensive evaluations to optimize GenAI agent performance and identify suitable Large Language Models (LLMs)
- Build reusable components and frameworks for team GenAI use-cases
- Research and implement techniques to improve LLM inference, such as fine-tuning
- Serve as the primary subject matter expert (SME) for Generative AI and Machine Learning within the team
- Gather requirements and learn offensive security techniques from the team
- Help design infrastructure to support the GenAI ecosystem and scale the team’s capabilities
Requirements
- 2+ years of experience in an engineering role
- Proven experience designing and implementing generative AI applications utilizing LLMs, either professionally or on your own
- Deep understanding and practical experience with core Generative AI concepts and techniques, including embedding models, Retrieval Augmented Generation (RAG), attention mechanisms, and similarity search
- Strong Python development experience writing clean and maintainable code
- Ability to learn low level topics, such as protocols (HTTP) and Windows internals, to then implement in code
- Clear thinker and efficient communicator (written and verbal)
- Go-getter attitude and ability to work independently
- Ability to take high level requirements and lead the project to completion
- Ability to work remotely with teammates across the organization and maintain healthy working relationships
- Familiarity (optional/prior experience not required) with: Python, Docker, AWS, Git
- Bonus (preferred) - Existing knowledge in cybersecurity, red teaming, and/or penetration testing
- Bonus (preferred) - Experience with advanced GenAI architectures, autonomous agents, and multi-agent systems
- Bonus (preferred) - Experience with front-end development (JavaScript, CSS, React)