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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 fitCore Competencies
Use this summary to align your resume positioning with the role.
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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Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAWSAzureCloudDockerGoogle 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