Staff Software Engineer, Applied AI at Hackerone in Seattle, WA
- Company: Hackerone
- Location: Seattle
- Job type: full time
- Workplace: remote
- Posted: 2026-10-27
Job description
HackerOne is a global leader in Continuous Threat Exposure Management (CTEM) and the only solution provider that pairs the simultaneous trust of the Fortune 500 and the world's largest community of security researchers to secure the AI-native enterprise. The H1 Platform unites agentic AI solutions with security researchers ingenuity to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions such as agentic and human offensive security testing, AI red teaming, code security, validation, and remediation, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com , General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing. HackerOne Values HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. Staff Software Engineer, Applied AI Remote Location: Seattle, WA Position Summary At HackerOne, we’re advancing a new era of AI-powered offensive security . As a Staff AI Engineer , you’ll help shape the evolution of our autonomous HAI platform , driving the integration of advanced AI and agentic frameworks into HackerOne’s products. You will build intelligent security agents that reason, act, and learn — helping security teams identify, validate, and remediate vulnerabilities faster than ever. This is a high-impact technical role, reporting to the VP, AI Engineering , where you will architect the systems and frameworks that power the next generation of AI-driven vulnerability discovery . At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a role targeted for candidates within ~50 miles of Seattle, WA . We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work. Must be able and willing to come to the office once per week (typically Thursdays). Primary Responsibilities Success in the Staff AI Engineer role will be accomplished by delivering on the responsibilities below in alignment with the Talent Principles that define how we work at HackerOne. Architect and enhance our autonomous security agent “Hai,” building intelligent systems capable of natural-language reasoning, vulnerability detection, and actionable recommendations, all grounded in an AI-First mindset. Build components and services that integrate agentic AI design patterns—such as orchestration, memory systems, RAG, long-horizon tasks, and LLM-based models—into the HackerOne platform, applying an AI-First approach to improve vulnerability detection and security automation. Partner across Product, Security Research, and Engineering to introduce AI capabilities into the broader HackerOne ecosystem. As the company evolves rapidly, bring clarity and stability to shifting requirements by demonstrating strong Change Agility . Design and implement AI red-teaming agents and frameworks that proactively surface weaknesses in LLMs, generative-AI systems, and applied AI deployments, using First Principles Problem Solving to break problems down and build durable, foundational solutions. Establish meaningful metrics, observability, evaluati
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