Staff Software Engineer, Applied AI

HackerOne
Seattle, Austin
Workplace: HybridFull timeUSD 230,000 - 280,000 annuallyFunction: Software EngineeringExperience: 8+ yearsSkills: ["Communication","Problem-solving","Collaboration","Leadership","Adaptability"]

Staff AI Engineer role focusing on architecting and delivering AI-powered autonomous security capabilities. You will build and integrate agentic AI systems, collaborate across product, security research, and engineering, and establish metrics and observability to improve model performance, safety, and impact for HackerOne’s AI-driven vulnerability discovery platform.

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FursaFursa
HackerOne
HackerOne
6 months ago

Staff Software Engineer, Applied AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Staff AI Engineer role focusing on architecting and delivering AI-powered autonomous security capabilities. You will build and integrate agentic AI systems, collaborate across product, security research, and engineering, and establish metrics and observability to improve model performance, safety, and impact for HackerOne’s AI-driven vulnerability discovery platform.
Location: Seattle, Austin
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Architect and enhance our autonomous security agent “Hai,” building intelligent systems capable of natural-language reasoning, vulnerability detection, and actionable recommendations, all grounded in an AI-First mindset.
  • •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, applying an AI-First approach to improve vulnerability detection and security automation.
  • •Partner across Product, Security Research, and Engineering to introduce AI capabilities into the broader HackerOne ecosystem. Demonstrate Change Agility to bring clarity and stability to shifting requirements.
  • •Design and implement AI red-teaming agents and frameworks that surface weaknesses in LLMs, generative-AI systems, and applied AI deployments, using First Principles Problem Solving.
  • •Establish meaningful metrics, observability, evaluation frameworks, and continuous feedback loops to improve model performance, safety, and user impact—grounded in Data-Driven Decision Making.

Pay and Benefits

Salary: USD 230,000 - 280,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceEquityRetirementPaid LeaveParental Leave

Key Requirements

  • •8+ years of experience as a software engineer with production-grade AI platforms and infrastructure.
  • •Must be able and willing to come to the office once per week (typically Thursdays).
  • •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.
Experience:8+ yearsAICybersecuritySoftware
Skills:CommunicationProblem-solvingCollaborationLeadershipAdaptability
Languages:English
Tech Stack:TensorFlowPyTorchTransformersLLMsMLOpsDockerKubernetesRuby on RailsGraphQLReactAWSGCPAzurePythonJavaJavaScript

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

HackerOne
Provides a platform for coordinated vulnerability disclosure, bug bounty programs, and continuous threat exposure management by connecting organizations with a global community of security researchers to find and remediate software, cloud, and AI vulnerabilities.
Industry: Cybersecurity
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2012
Glassdoor
Glassdoor: 3.9
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