HackerOne is looking to solve the problem of advancing AI-powered offensive security by shaping the evolution of their autonomous HAI platform, driving the integration of advanced AI and agentic frameworks into HackerOne's products to help security teams identify, validate, and remediate vulnerabilities faster than ever.
Requirements
- 8+ years of experience as a software engineer, including deep experience building and maintaining production-grade AI platforms and infrastructure.
- Proven expertise in large language models (LLMs), generative AI, and machine learning frameworks such as TensorFlow, 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 ethical AI practices.
- Experience building AI development platforms, model registries, experimentation frameworks, and tools that accelerate AI innovation across organizations.
- Familiarity with ReAct, AutoGen, or Semantic Kernel for agentic orchestration and multi-agent collaboration.
Responsibilities
- 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.
- 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 frameworks, and continuous feedback loops to improve model performance, safety, and user impact—ensuring decisions are grounded in Data-Driven Decision Making*.
- Stay current with emerging AI safety research, adversarial-testing techniques, and agentic-system patterns, and integrate those learnings into HackerOne’s responsible-AI strategy with adaptability and a growth-oriented Change Agility* mindset.
- Build APIs and integrations that enable seamless interaction between AI models, security tools, and the broader HackerOne platform, ensuring security, scalability, and interoperability across systems.
- Partner across Product, Security Research, and Engineering to introduce AI capabilities into the broader HackerOne ecosystem.
Other
- Must be able and willing to come to the office once per week (typically Thursdays).
- Must be able and willing to come to the office once per week (typically Thursdays).
- Visa/work permit sponsorship is not available.
- Employment at HackerOne is contingent on a background check.
- HackerOne is an Equal Opportunity Employer...
