Senior Engineer, Cyber AI R&D
New
S
SIXGENCybersecurity AI
Hybrid or Remote. Travel to the DMV area and customer sites may be required.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSoftware EngineeringPrompt EngineeringLLM
Requirements
- 5+ years of professional experience in software engineering, cybersecurity engineering, applied research, or a related technical field.
- Strong hands-on software engineering skills and experience designing and building non-trivial software systems.
- Demonstrated ability to independently take a technical problem from concept through prototype, experimentation, and working implementation.
- Hands-on experience developing applications using large language models or other modern AI systems.
- Experience integrating models with APIs, tools, data sources, software environments, or external systems.
- Working knowledge of modern AI application patterns, including prompt engineering, retrieval, tool use, structured outputs, workflow orchestration, and agentic system design.
- Familiarity with cybersecurity concepts and at least one relevant technical domain such as vulnerability research, reverse engineering, malware analysis, or offensive security.
- Strong Python development skills and familiarity with additional languages commonly used in systems or cybersecurity development.
- Experience debugging complex systems and independently investigating unfamiliar technical problems.
- Active TS/SCI clearance.
- Bachelor's degree in Computer Science, Computer Engineering, Cybersecurity, Math, or a related technical discipline, or equivalent professional experience.
Responsibilities
- Research and develop AI-enabled cybersecurity capabilities, building prototypes and experimental systems that apply modern models and autonomous workflows to real cyber problems.
- Build working software quickly, translating ideas and technical concepts into functional prototypes that can be evaluated by engineers, operators, and customers.
- Apply AI to specialized cyber workflows, including vulnerability research, reverse engineering, malware analysis, code analysis, exploit development, security testing, and offensive or defensive operations.
- Develop agentic systems and workflows, integrating models with tools, APIs, software environments, cyber tooling, data sources, and human operators.
- Design and run technical evaluations, measuring capability, accuracy, reliability, performance, cost, and operational usefulness.
- Integrate AI models into real software systems, including model APIs, local or hosted inference, retrieval systems, tool execution, and workflow orchestration.
- Work directly with cyber operators and subject matter experts to identify opportunities for automation and iterate based on real-world feedback.
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