Senior Software Engineer, Platform
$182k - $222kHackerOne
Senior Software Engineer, PlatformAt HackerOne, we're revolutionizing offensive security by combining human intelligence with artificial intelligence to help organizations build a safer internet. As a Senior Software Engineer on our AI Platform team, you will contribute directly to the development of our next-generation AI security capabilities, including our in-platform AI security agent, Hai. You will help develop AI-powered features that enhance vulnerability discovery, improve security analysis workflows, and expand how thousands of customers detect and respond to emerging threats.At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a role targeted for candidates within ~50 miles of Seattle, WA; Boston, MA; Washington, DC; or Austin, TX. We believe this balance of proximity and flexibility gives HackerOne employees the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work. Must be able and willing to come to the office once per week (typically Thursdays).Primary ResponsibilitiesContribute to the evolution of the cloud-based execution platform for the AI security agent Hai, implementing features that enable natural language-driven security insights, improved reasoning, and secure action workflows.Design and implement core components for end-to-end execution of security agents, including agent execution frameworks, memory services, RAG services, and observability systems.Operate with an AI-first mindset, leveraging tools such as Claude Code and ChatGPT Enterprise to significantly improve productivity across coding, design documentation, on-call response, and customer escalation handling.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.Use metrics, evaluation data, and telemetry to validate model behavior and improve system performance.Break down complex distributed systems and security problems into smaller, fundamental components, applying first principles problem solving to deliver simple, scalable solutions.Minimum Qualifications5+ years of experience as a software engineerMust be able and willing to come to the office once per week (typically Thursdays).Experience working with cloud services like AWS, GCP or Azure.Experience implementing distributed system features within production-grade AI or ML systems, including integrating LLMs or generative AI models into applicationsFamiliarity with model deployment workflows, evaluation techniques, or MLOps conceptsUnderstanding of responsible AI development and basic AI safety considerationsPreferred QualificationsExperience working with cloud AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML)Experience with Agentic AI Ops, ML Ops.Exposure to agentic frameworks such as ReAct, AutoGen, LangChain, or Semantic KernelFamiliarity with full-stack technologies such as Ruby on Rails, GraphQL, or React—especially for integrating AI capabilities into existing systemsCompensation Bands: Seattle, Austin, Boston, DC$182K – $222K • Offers EquityJob Benefits:Health (medical, vision, dental), life, and disability insurance*Equity stock optionsRetirement plansPaid public holidays and unlimited PTOPaid maternity and parental leaveLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)Employee Assistance Program*Eligibility may differ by countryWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).Visa/work permit sponsorship is not available.Employment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.
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