HackerOne

Senior Software Engineer, Applied AI

HackerOne

full-time

Posted on:

Location Type: Hybrid

Location: SeattleTexasWashingtonUnited States

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Salary

💰 $190,000 - $230,000 per year

Job Level

About the role

  • Contribute to evolving our AI security agent Hai, implementing features that enable natural language security insights, improved reasoning, and secure action workflows.
  • Build components and services that integrate Agentic AI design patterns like AI Orchestration, Memory systems, RAG, Long horizon tasks, LLM-based models into the HackerOne platform, applying an AI-First approach to enhance vulnerability detection and security automation.
  • Implement features for AI red teaming agents and evaluation tools that help identify risks in LLMs and applied AI systems, supporting safer model development.
  • Collaborate cross-functionally with Product, Security Research, and Customer Success to translate customer needs into clear engineering requirements and deliverables.
  • Develop and integrate APIs that enable secure interactions between AI models, internal services, and third-party systems, adjusting quickly as requirements evolve with Change Agility.
  • Use metrics, evaluation data, and telemetry to validate model behavior and improve system performance in alignment with Data-Driven Decision Making.
  • Break down complex AI and security problems into smaller, fundamental components, applying First Principles Problem Solving to deliver simple, scalable solutions.
  • Stay current with emerging AI security trends, contributing findings and learnings to team discussions and implementation planning.

Requirements

  • 5+ years of experience as a software engineer
  • Must be able and willing to come to the office once per week (typically Thursdays)
  • Experience implementing features within production-grade AI or ML systems, including integrating LLMs or generative AI models into applications
  • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or HuggingFace Transformers
  • Familiarity with model deployment workflows, evaluation techniques, or MLOps concepts
  • Understanding of responsible AI development and basic AI safety considerations
Benefits
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI securitynatural language processingAI orchestrationmemory systemsRAGLLM-based modelsAPI developmentMLOpsmodel evaluationgenerative AI
Soft Skills
cross-functional collaborationchange agilitydata-driven decision makingfirst principles problem solving