HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne 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, 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 and has been named a Most Loved Workplace for Young Professionals (2024). HackerOne 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, HackerOne 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.
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. ## What You Will Do
Success in this role will be accomplished by delivering the responsibilities below in alignment with HackerOne’s Talent Principles: AI-First, Change Agility, Data-Driven Decision Making, and First Principles Problem Solving. - Contribute to evolving our AI security agent Hai, implementing features that enable natural language security insights, improved reasoning, and secure action workflows. - Build components and services that integrate Agentic AI design patterns like AI Orchestration, Memory systems, RAG, Long horizon tasks, LLM-based models into the HackerOne platform, applying an AI-First approach to enhance vulnerability detection and security automation. - Implement features for AI red teaming agents and evaluation tools that help identify risks in LLMs and applied AI systems, supporting safer model development. - Collaborate cross-functionally with Product, Security Research, and Customer Success to translate customer needs into clear engineering requirements and deliverables. - Develop and integrate APIs that enable secure interactions between AI models, internal services, and third-party systems, adjusting quickly as requirements evolve with Change Agility. - Use metrics, evaluation data, and telemetry to validate model behavior and improve system performance in alignment with Data-Driven Decision Making. - Break down complex AI and security problems into smaller, fundamental components, applying First Principles Problem Solving to deliver simple, scalable solutions. - Stay current with emerging AI security trends, contributing findings and learnings to team discussions and implementation planning. ## Minimum Qualifications
5+ years of experience as a software engineer
Must be able and willing to come to the office once per week (typically Thursdays)
Experience implementing features within production-grade AI or ML systems, including integrating LLMs or generative AI models into applications
Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or HuggingFace Transformers
Familiarity with model deployment workflows, evaluation techniques, or MLOps concepts
Understanding of responsible AI development and basic AI safety considerations
Preferred Qualifications
Experience contributing to AI development platforms, internal ML tooling, or experimentation workflows
Exposure to agentic frameworks such as ReAct, AutoGen, LangChain, or Semantic Kernel
Familiarity with prompt engineering, fine-tuning, RAG architectures, or LLM optimization techniques
Experience working with cloud AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML)
Familiarity with full-stack technologies such as Ruby on Rails, GraphQL, or React—especially for integrating AI capabilities into existing systems
Compensation Bands:
Seattle, WA , Boston, Washington DC, or Austin, TX
$190K – $230K • Offers Equity Options
#LI-HM1
Job Benefits:
Health (medical, vision, dental), life, and disability insurance*
Equity stock options
Retirement plans
Paid public holidays and unlimited PTO
Paid maternity and parental leave
Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)
Employee Assistance Program
*Eligibility may differ by country
We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR). Visa/work permit sponsorship is not available. This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.
