Staff Software Engineer, Applied AI

HackerOne•Seattle, WA
•$200,000 - $256,000•Remote

About The Position

HackerOne is hiring a Staff Software Engineer, Applied AI to advance its AI-powered offensive security products and autonomous HAI platform. The role involves architecting and building production-grade AI systems and intelligent security agents that reason, act, and learn to help security teams discover, validate, and remediate vulnerabilities. It reports to the VP, AI Engineering. The role is targeted to candidates within approximately 50 miles of Seattle, Washington. Work is remote with a flexible-work approach, but the employee must be able and willing to attend the office once per week, typically Thursdays. The position partners across Product, Security Research, and Engineering and contributes to HackerOne’s responsible-AI strategy.

Requirements

  • At least 8 years of software engineering experience, including deep experience building and maintaining production-grade AI platforms and infrastructure.
  • Must be able and willing to come to the office once per week, typically Thursdays.
  • Proven expertise with large language models, generative AI, and machine-learning frameworks such as TensorFlow, PyTorch, and Transformers in production environments.
  • 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.

Nice To Haves

  • 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 with agent action routing, secure tool-usage APIs, and feedback loops for autonomous agents.
  • Knowledge of prompt engineering, fine-tuning, retrieval-augmented generation, and advanced LLM optimization strategies.
  • Experience with cloud-based AI/ML services such as AWS Bedrock, GCP Vertex AI, or Azure ML, and containerization technologies such as Docker and Kubernetes for AI workloads.
  • Familiarity with Ruby on Rails, GraphQL, and React, and experience integrating AI capabilities into production web applications and APIs.

Responsibilities

  • Architect and enhance Hai, HackerOne’s autonomous security agent, to support natural-language reasoning, vulnerability detection, and actionable recommendations.
  • Build platform components and services that integrate agentic AI patterns, including orchestration, memory systems, retrieval-augmented generation, long-horizon tasks, and LLM-based models.
  • Partner with Product, Security Research, and Engineering to bring AI capabilities into the broader 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 continuous feedback loops to improve model performance, safety, and user impact.
  • Monitor emerging AI safety research, adversarial-testing techniques, and agentic-system patterns, and incorporate relevant learning into HackerOne’s responsible-AI strategy.
  • Build APIs and integrations connecting AI models, security tools, and the HackerOne platform, with attention to security, scalability, and interoperability.

Benefits

  • Health insurance, including medical, vision, and dental
  • Life insurance
  • Disability insurance
  • Equity stock options
  • Retirement plans
  • Paid public holidays
  • Unlimited PTO
  • Paid maternity and parental leave
  • Leaves of absence, including caregiver leave and leave under Colorado's Healthy Families and Workplaces Act
  • Employee Assistance Program
  • Flexible Work Stipend
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