AI Researcher
About the role
MindFort is building autonomous AI-powered security agents for penetration testing. The AI Researcher will own core research to improve agent reasoning, planning, and exploitation capabilities, translating research into production improvements for an autonomous security platform.
Responsibilities
- Research and develop novel methods to improve agent reasoning, planning, and multi-step exploitation capabilities.
- Design and run experiments on LLM-based agents — prompting strategies, memory, tool use, fine-tuning, and RL.
- Build rigorous evaluation harnesses and benchmarks to measure agent performance on real-world vulnerability discovery and exploitation.
- Translate research findings into production agent improvements, working closely with engineering.
- Stay on top of the latest in LLMs, agents, and offensive security, and bring the best ideas in-house.
- Contribute to the research community where it makes sense — publications, write-ups, and thought leadership.
Qualifications
- Bachelor’s or Master’s in Computer Science (or equivalent experience).
- Strong track record in ML/AI research — publications, open-source work, or comparable demonstrable impact.
- Deep hands-on experience with LLMs and agentic systems (prompting, tool use, fine-tuning, RL, or eval design).
- Strong Python skills and the ability to turn research prototypes into something that runs in production.
- Solid experimental rigor — you know how to design experiments, measure what matters, and avoid fooling yourself.
- Strong communication skills and proven ability to thrive in small, cross-functional teams.
Skills
Benefits
- Competitive salary & equity.
- Top-tier health insurance — 100% covered.
- Lunch included regularly plus ad hoc team dinners.
- Unparalleled access to leading AI labs and world-class security teams.
- Unlimited, flexible PTO.
About MindFort
Autonomous Security Agents
MindFort is building fully autonomous AI agents powered by their in-house models that can find, exploit, and patch complex vulnerabilities in web applications at massive scale. MindFort agents use the same principles as human penetration testers to understand their target and figure out the best ways to work together to exploit it. While security teams were already behind with legacy tools and processes, AI coding is make the problem worse. AI generates code far faster than human teams can secure it; MindFort can match that speed and scale. Our agents will become critical as organizations scale up development with AI.
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