Software Engineer - AI Enabled Vulnerability Research

Active Top Secret (TS/SCI) clearance with polygraph is required.

Visionist has an exciting new, fully FUNDED opportunity for a Software Engineer - AI Enabled Vulnerability Research on our largest PRIME contract. Our team of Analysts and Engineers is motivated by the direct impact on the mission, crafting specialized tools for enhanced efficiency and quick iterations for our operations user base. Seeing your tools in real-time action brings immediate gratification. This premier program encompasses traditional software services including Systems Design and Engineering, Database Administration, Data Science and Knowledge Management, Enterprise Risk Management, Integration and Test, as well as Operations and Systems Support.

The program is characterized by innovation and excitement, fostering meaningful engagements, and offering distinctive collaboration opportunities with users, policy makers, and mission leadership, all while maintaining a service mindset. If you thrive in a collaborative work environment and enjoy utilizing a diverse tech stack, then this opportunity is tailor‑made for you!

For over 15 years, Visionist has been solving the Intelligence Community's toughest software and analysis challenges. We embed small engineering teams with analysts to rapidly identify and solve mission capability gaps playing a critical role in defending our nation’s cyber infrastructure & providing expertise in malware analysis, attribution, mapping adversarial infrastructure, pen testing, and operational planning. Our open-door leadership team fosters a supportive culture, where internal growth and promotion opportunities are the norm.

Don’t just take our word for it—check out our 4.8-star review on Glassdoor. Join a company that feels like a family with regular happy hours, baseball games, activity clubs and more. Check us out at

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• Design, develop, and maintain AI-enabled software and research tools supporting computer network exploitation (CNE) and vulnerability research (VR)
• Lead the development and delivery of complex software features and subsystems, from requirements and design through deployment and sustainment
• Develop agentic AI harnesses to orchestrate research tools, manage execution state, collect evidence, and evaluate results
• Build sandbox-based dynamic analysis capabilities to observe software behavior and reproduce suspected vulnerabilities
• Integrate debugging, instrumentation, fuzzing, and crash analysis tools into automated research workflows
• Develop repeatable evaluations to assess finding validity, reproducibility, false-positive rates, and AI-assisted analysis effectiveness
• Develop backend services, REST APIs, data pipelines, and user interfaces to support research workflows and traceable results
• Troubleshoot complex issues across software, AI integrations, and execution environments to improve performance, reliability, and observability
• Lead design and code reviews, document technical decisions, mentor engineers, and communicate technical progress and risks to stakeholders

• Bachelor's degree in a technical discipline. (Additional 4 years of experience may substitute)
• 12 years of experience in Software Engineering
• Experience independently designing, developing, testing, and delivering complex software systems
• Proficiency in Python, including modular design, object-oriented programming, and automated testing
• Experience with AI-enabled CNE or vulnerability research and evaluating AI-generated findings
• Knowledge of reverse engineering, debugging, dynamic analysis, fuzzing, and crash triage techniques
• Experience with isolated execution environments, runtime instrumentation, execution tracing, and evidence collection
• Experience developing…