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HackerOne

Staff Software Engineer, Applied AI

HackerOne

. Architect and enhance the autonomous security agent “Hai,” enabling natural-language reasoning, vulnerability detection, and actionable recommendations .

Posted 10/27/2026full-timeSeattle • Washington • United StatesLead💰 $200,000 - $256,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive expertise in building and maintaining production-grade AI platforms, with a strong focus on large language models, generative AI, and AI safety principles. Capable of integrating AI capabilities into production environments while ensuring responsible AI development and ethical practices.

Highest-signal resume keywords
Large Language Models (LLMs)AI Platform EngineeringMLOps PipelinesAI Safety PrinciplesCloud-Based AI/ML Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine Learning FrameworksModel DeploymentPrompt EngineeringRetrieval-Augmented Generation (RAG)Advanced LLM OptimizationAI Development PlatformsModel RegistriesExperimentation FrameworksAgent Action RoutingFeedback Loops
Tools & Technologies
TensorFlowPyTorchTransformersAWS BedrockGCP Vertex AIAzure MLDockerKubernetesRuby on RailsGraphQL
Industry Keywords
Generative AIAI Red-TeamingEthical AI PracticesBias MitigationAgentic AI Patterns

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformGraphQLKubernetesPyTorchReactRubyRuby on RailsTensorflow

About the role

Key responsibilities & impact
  • Architect and enhance the autonomous security agent “Hai,” enabling natural-language reasoning, vulnerability detection, and actionable recommendations
  • Build components and services integrating agentic AI patterns including orchestration, memory systems, RAG, long-horizon tasks, and LLM-based models
  • Partner with Product, Security Research, and Engineering to introduce AI capabilities across the HackerOne ecosystem
  • Design and implement AI red-teaming agents and frameworks to surface 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
  • Track emerging AI safety research, adversarial-testing techniques, and agentic-system patterns and integrate learnings into HackerOne’s responsible-AI strategy
  • Build APIs and integrations connecting AI models, security tools, and the broader HackerOne platform
  • Report to the VP, AI Engineering

Requirements

What you’ll need
  • 8+ years of experience as a software engineer
  • 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
  • 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
  • Solid understanding of AI safety and alignment principles, including responsible AI development, bias mitigation, and ethical AI practices
  • 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 such as AWS Bedrock, GCP Vertex AI, and Azure ML
  • Experience with containerization technologies such as Docker and Kubernetes for AI workloads
  • Familiarity with Ruby on Rails, GraphQL, and React
  • Experience integrating AI capabilities into production web applications and APIs
  • Employment contingent on a background check
  • Visa/work permit sponsorship is not available

Benefits

Comp & perks
  • 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