Software Engineer, Applied AI

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 pentesting, AI red teaming, and code security, Hacker One delivers measurable, continuous reduction of cyber risk for enterprises.

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

We embrace a Flexible Work approach, with a requirement to come to the office once per week on Thursdays and to be located within ~50 miles of Seattle, WA;
Boston, MA;
Washington, DC; or Austin, TX.

• 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, demonstrating strong Change Agility in a rapidly evolving environment.
• 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 build durable, foundational solutions.
• Establish meaningful metrics, observability, evaluation frameworks, and continuous feedback loops to improve model performance, safety, and user impact—ensuring decisions are grounded in Data‑Driven Decision Making
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• Stay current with emerging AI safety research, adversarial‑testing techniques, and agentic‑system patterns, integrating those learnings into Hacker One’s responsible‑AI strategy with a growth‑oriented Change Agility mindset.
• Build APIs and integrations that enable seamless interaction between AI models, security tools, and the broader Hacker One platform, ensuring security, scalability, and interoperability across systems.

• 8+ years of experience as a software engineer, including deep experience building and maintaining production‑grade AI platforms and infrastructure.
• Must be able and willing to come to the office once per week (typically Thursdays).
• Proven expertise in large language models (LLMs), generative AI, and machine learning frameworks such as Tensor Flow, PyTorch, and Transformers in production environments.
• Strong hands‑on experience in AI platform engineering, including model deployment, MLOps pipelines, model serving infrastructure, and shared AI services architecture.
• Experience building systems that support multiple AI product teams and applications, enabling scalable experimentation and deployment.
• Solid understanding of AI safety and alignment principles, including responsible AI development, bias mitigation, and…