HackerOne
Overview
HackerOne is a global leader in continuous threat exposure management. Our platform unites AI‑enabled solutions with the world’s largest security research community to discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. We partner with industry leaders including Anthropic, Crypto.com, and the U.S. Department of Defense to safeguard digital ecosystems.
Position Summary As a Staff AI Engineer, you will shape the next generation of our autonomous security agent “Hai.” Reporting to the VP of AI Engineering, you will architect systems that enable AI‑driven vulnerability discovery, integrate agentic frameworks, and partner with product and security research teams to embed AI capabilities across the HackerOne platform.
What You Will Do
Architect and enhance our autonomous security agent “Hai,” building intelligent systems capable of natural‑language reasoning, vulnerability detection, and actionable recommendations.
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.
Partner across Product, Security Research, and Engineering to introduce AI capabilities into the broader HackerOne ecosystem and bring clarity and stability to shifting requirements.
Design and implement AI red‑teaming agents and frameworks that proactively surface weaknesses in LLMs, generative‑AI systems, and applied AI deployments.
Establish meaningful metrics, observability, evaluation frameworks, and continuous feedback loops to improve model performance, safety, and user impact.
Stay current with emerging AI safety research and integrate those learnings into HackerOne’s responsible‑AI strategy.
Build APIs and integrations that enable seamless interaction between AI models, security tools, and the broader HackerOne platform.
Minimum Qualifications
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.
Must be able to come to the office once per week (typically Thursdays).
Preferred Qualifications
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.
Experience in agent action routing, secure tool usage APIs, and feedback loops for autonomous agents.
Knowledge of prompt engineering, fine‑tuning, retrieval‑augmented generation (RAG), and advanced LLM optimization strategies.
Experience with cloud‑based AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML) and containerization technologies (Docker, Kubernetes) for AI workloads.
Familiarity with Ruby on Rails, GraphQL, and React, and experience integrating AI capabilities into production web applications and APIs.
Compensation Seattle and Austin: $230,000 – $300,000 per year. Equity stock options are included.
Benefits
Health, vision, dental, life, and disability insurance.
Equity stock options.
Retirement plans.
Paid public holidays and unlimited paid time off.
Paid maternity and parental leave.
Leaves of absence, including caregiver leave.
Employee Assistance Program.
Flexible Work Stipend.
Location Seattle, WA or Austin, TX – must be willing to come to the office once per week (typically Thursdays). Remote work is available.
EEO Statement HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability, veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.
Visa and Sponsorship Visa/work permit sponsorship is not available.
Contact For application inquiries, please use HackerOne’s career portal.
#J-18808-Ljbffr
Position Summary As a Staff AI Engineer, you will shape the next generation of our autonomous security agent “Hai.” Reporting to the VP of AI Engineering, you will architect systems that enable AI‑driven vulnerability discovery, integrate agentic frameworks, and partner with product and security research teams to embed AI capabilities across the HackerOne platform.
What You Will Do
Architect and enhance our autonomous security agent “Hai,” building intelligent systems capable of natural‑language reasoning, vulnerability detection, and actionable recommendations.
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.
Partner across Product, Security Research, and Engineering to introduce AI capabilities into the broader HackerOne ecosystem and bring clarity and stability to shifting requirements.
Design and implement AI red‑teaming agents and frameworks that proactively surface weaknesses in LLMs, generative‑AI systems, and applied AI deployments.
Establish meaningful metrics, observability, evaluation frameworks, and continuous feedback loops to improve model performance, safety, and user impact.
Stay current with emerging AI safety research and integrate those learnings into HackerOne’s responsible‑AI strategy.
Build APIs and integrations that enable seamless interaction between AI models, security tools, and the broader HackerOne platform.
Minimum Qualifications
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.
Must be able to come to the office once per week (typically Thursdays).
Preferred Qualifications
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.
Experience in agent action routing, secure tool usage APIs, and feedback loops for autonomous agents.
Knowledge of prompt engineering, fine‑tuning, retrieval‑augmented generation (RAG), and advanced LLM optimization strategies.
Experience with cloud‑based AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML) and containerization technologies (Docker, Kubernetes) for AI workloads.
Familiarity with Ruby on Rails, GraphQL, and React, and experience integrating AI capabilities into production web applications and APIs.
Compensation Seattle and Austin: $230,000 – $300,000 per year. Equity stock options are included.
Benefits
Health, vision, dental, life, and disability insurance.
Equity stock options.
Retirement plans.
Paid public holidays and unlimited paid time off.
Paid maternity and parental leave.
Leaves of absence, including caregiver leave.
Employee Assistance Program.
Flexible Work Stipend.
Location Seattle, WA or Austin, TX – must be willing to come to the office once per week (typically Thursdays). Remote work is available.
EEO Statement HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability, veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.
Visa and Sponsorship Visa/work permit sponsorship is not available.
Contact For application inquiries, please use HackerOne’s career portal.
#J-18808-Ljbffr