Base Salary
$230k - $280k/yr
Responsibilities
- Architect and enhance HackerOne’s autonomous security agent Hai with natural-language reasoning, vulnerability detection, and actionable recommendations.
- Build services integrating orchestration, memory systems, RAG, long-horizon tasks, and LLM-based models into the HackerOne platform.
- Partner with Product, Security Research, and Engineering to introduce AI capabilities across the HackerOne ecosystem.
- Design and implement AI red-teaming agents and frameworks to identify weaknesses in LLMs, generative-AI systems, and applied AI deployments.
- Establish metrics, observability, evaluation frameworks, and feedback loops to improve model performance, safety, and user impact.
- Track AI safety research, adversarial-testing techniques, and agentic-system patterns and incorporate relevant learnings into responsible-AI strategy.
- Build APIs and integrations connecting AI models, security tools, and the broader HackerOne platform with security, scalability, and interoperability.
Requirements
- 8+ years of software engineering experience, including deep experience building and maintaining production-grade AI platforms and infrastructure.
- Production expertise with large language models, generative AI, and machine learning frameworks including TensorFlow, PyTorch, and Transformers.
- Strong hands-on experience with AI platform engineering, model deployment, MLOps pipelines, model-serving infrastructure, and shared AI services architecture.
- Experience building systems that support multiple AI product teams and applications and enable scalable experimentation and deployment.
- Understanding of AI safety and alignment, responsible AI development, bias mitigation, and ethical AI practices.
- Preferred experience building AI development platforms, model registries, experimentation frameworks, and organizational AI innovation tools.
- Preferred familiarity with ReAct, AutoGen, or Semantic Kernel; agent action routing; secure tool-usage APIs; autonomous-agent feedback loops; prompt engineering; fine-tuning; RAG; and LLM optimization.
- Preferred experience with AWS Bedrock, GCP Vertex AI, Azure ML, Docker, Kubernetes, Ruby on Rails, GraphQL, React, and production web applications or APIs.
- Must be able and willing to work onsite once per week, typically Thursdays, in or near Seattle, Boston, Washington, DC, or Austin.
Benefits
- Health, medical, vision, dental, life, and disability insurance, with eligibility varying by country.
- Equity stock options and retirement plans.
- Paid public holidays, unlimited PTO, paid maternity and parental leave, caregiver leave, and other leaves of absence.
- Employee Assistance Program.
- Flexible hybrid arrangement for candidates within approximately 50 miles of Seattle, Boston, Washington, DC, or Austin, with one required onsite day per week, typically Thursday.
- Visa/work permit sponsorship is not available; employment is contingent on a background check.
Tech Stack
Categories
About HackerOne
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 like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, 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.