About the position
At HackerOne, we're revolutionizing cybersecurity by combining human intelligence with artificial intelligence to create the world's most effective offensive security platform. As a Staff Software Engineer on our AI Platform team, you'll be at the forefront of developing cutting-edge AI-powered security solutions that protect organizations from emerging threats. You'll work directly on our AI platform, contribute to our in-platform AI security agent 'Hai,' and help build next-generation AI safety and security tools that serve thousands of companies including Amazon, Anthropic, GitHub, Goldman Sachs, and the U.S. Department of Defense. We're seeking an engineer who shares our mission to empower the world to build a safer internet through AI-driven security innovation. You'll harness artificial intelligence to help organizations and developers create more secure software, detect vulnerabilities faster, and defend against emerging threats. Working alongside our global community of security researchers, you'll build AI tools that make cybersecurity more accessible and effective for everyone. At HackerOne, we embrace a Flexible Work approach, enabling our team members to work remotely while maintaining productivity and collaboration. We are seeking candidates located in Seattle, Washington, and the surrounding metropolitan areas, to facilitate occasional in-person interactions as needed. While the position is primarily remote, there will be periodic in-person requirements to support team collaboration and foster stronger connections. This approach ensures flexibility while providing opportunities to build meaningful in-person relationships that strengthen our team and company culture.
Responsibilities
- Build and evolve our autonomous AI security agent 'Hai' with capabilities to plan, reason, and take secure actions including vulnerability detection, threat intelligence generation and automated security analysis
- Build and enhance our AI security agent 'Hai' to provide instant security insights, natural language query processing, and actionable recommendations for security teams
- Develop AI red teaming agents and frameworks that help identify vulnerabilities in large language models, generative AI systems, and applied AI deployments
- Collaborate with product teams to integrate AI capabilities that enhance vulnerability discovery, validation, and remediation
- Create APIs and integrations that enable seamless interaction between AI models, security tools, and the broader HackerOne ecosystem
- Partner with cross-functional teams including Product, Security Research, and Customer Success to translate AI innovations into customer-facing security solutions
- Integrate emerging agentic frameworks and LLM-based orchestration tools (e.g., LangChain, Semantic Kernel, AutoGen, OpenAgents) to power stateful AI agents with access to security tools, APIs, and third-party systems
- Stay current with emerging AI security threats, research cutting-edge AI safety techniques, and contribute to the development of industry-leading AI security standards
Requirements
- 10+ years of experience as a software engineer
- Experience building production-grade AI platforms and infrastructure that support multiple AI product teams and applications
- Strong hands-on experience with large language models (LLMs), generative AI, and machine learning frameworks (TensorFlow, PyTorch, Transformers) in production environments
- Expertise in AI platform engineering including model deployment, MLOps pipelines, model serving infrastructure, and shared AI services architecture
- Solid understanding of AI safety and alignment principles, including responsible AI development, bias mitigation, and ethical AI practices
Nice-to-haves
- Experience building AI development platforms, model registries, experimentation frameworks, and tools that accelerate AI product development across organizations
- Familiarity with frameworks like ReAct, AutoGen, or Semantic Kernel for agentic orchestration
- Experience in agent action routing, secure tool usage APIs, and feedback loops for autonomous agents
- Knowledge of prompt engineering, fine-tuning techniques, retrieval-augmented generation (RAG), and advanced LLM optimization strategies
- Background with cloud-based AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML) and containerization technologies for AI workloads
- Familiarity with Ruby on Rails, GraphQL, React, and experience integrating AI capabilities into existing web applications and APIs
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
- Flexible Work Stipend
