Software Applied AI Engineer

Hacker One is a global leader in Continuous Threat Exposure Management (CTEM). The Hacker One Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pen testing, AI red teaming, and code security, Hacker One delivers measurable, continuous reduction of cyber risk for enterprises.

Industry leaders, including Anthropic, , General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust Hacker One to safeguard their digital ecosystems. Hacker One was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).

Hacker One is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward‑thinking companies that want to build trust and resilience in a world where AI‑driven innovation and adversaries are moving faster than ever. With the industry shifting, Hacker One stands apart: we combine the ingenuity of the largest security research community with a best‑in‑class AI‑powered platform, trusted by the world’s top organizations.

Hacker One is dedicated to fostering a strong and inclusive culture. Hacker One 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.

At Hacker One, 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 Hacker One’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 Hacker One, 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 or Austin, TX
. Must be able and willing to come to the office once per week (typically Thursdays).

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 Hacker One.

• 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 Hacker One 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 Hacker One 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, evaluation…