{"schemaVersion":"jobsearcher.job.v1","id":"90a39e859adeaed1f0360bbb","url":"https://jobsearcher.com/jobs/90a39e859adeaed1f0360bbb","canonicalUrl":"https://jobsearcher.com/jobs/90a39e859adeaed1f0360bbb","title":"Senior Software Engineer, AI Platform","description":"HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world's largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the United States Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner's Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).\r\nHackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world's top organizations.\r\nSenior Software Engineer, AI Platform\r\nLocation\r\nSeattle, WA; Austin, TX – 1 day onsite per week (typically Thursdays).\r\nAt 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. This role is targeted for candidates within ~50 miles of Seattle, WA or Austin, TX. Must be able and willing to come to the office once per week.\r\nPrimary Responsibilities\r\nBuild 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.\r\nContribute to evolve cloud-based execution of AI security agent Hai, implementing features that enable natural language security insights, improved reasoning, and secure action workflows in cloud.\r\nImplement features for AI red teaming agents and evaluation tools that help identify risks in LLMs and applied AI systems, supporting safer model development.\r\nCollaborate cross-functionally with Product, Security Research, and Customer Success to translate customer needs into clear engineering requirements and deliverables.\r\nDevelop and integrate APIs that enable secure interactions between AI models, internal services, and third-party systems, adjusting quickly as requirements evolve with Change Agility.\r\nUse metrics, evaluation data, and telemetry to validate model behavior and improve system performance in alignment with Data-Driven Decision Making.\r\nBreak down complex AI and security problems into smaller, fundamental components, applying First Principles Problem Solving to deliver simple, scalable solutions.\r\nStay current with emerging AI security trends, contributing findings and learnings to team discussions and implementation planning.\r\nMinimum Qualifications\r\n5+ years of experience as a software engineer.\r\nMust be able and willing to come to the office once per week (typically Thursdays).\r\nExperience implementing distributed system features within production-grade AI or ML systems, including integrating LLMs or generative AI models into applications.\r\nHands-on experience with ML frameworks such as PyTorch, TensorFlow, or HuggingFace Transformers.\r\nFamiliarity with model deployment workflows, evaluation techniques, or MLOps concepts.\r\nUnderstanding of responsible AI development and basic AI safety considerations.\r\nPreferred Qualifications\r\nExperience contributing to AI development platforms, internal ML tooling, or experimentation workflows.\r\nExposure to agentic frameworks such as ReAct, AutoGen, LangChain, or Semantic Kernel.\r\nExperience with Agentic AI Ops, ML Ops.\r\nFamiliarity with prompt engineering, fine-tuning, RAG architectures, or LLM optimization techniques.\r\nExperience working with cloud AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML).\r\nFamiliarity with full-stack technologies such as Ruby on Rails, GraphQL, or React – especially for integrating AI capabilities into existing systems.\r\nCompensation Bands\r\nSeattle, WA and Austin, TX\r\n$190K – $230K * Offers Equity.\r\nJob Benefits\r\nHealth (medical, vision, dental), life, and disability insurance.*\r\nEquity stock options.\r\nRetirement plans.\r\nPaid public holidays and unlimited PTO.\r\nPaid maternity and parental leave.\r\nLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act).\r\nEmployee Assistance Program.\r\n*Eligibility may differ by country.\r\nWe'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).\r\nVisa/work permit sponsorship is not available.\r\nEmployment at HackerOne is contingent on a background check.\r\nHackerOne 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.\r\nThis 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.\r\nFor U.S. 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.\r\nCompensation Range: $190K – $230K.\r\nJ-18808-Ljbffr","company":"Hackerone","rawCompany":"hackerone","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-09T08:05:29.453Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1299.05","title":"Information Security Engineers","slug":"information-security-engineers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer, AI Platform","description":"HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world's largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the United States Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner's Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).\r\nHackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world's top organizations.\r\nSenior Software Engineer, AI Platform\r\nLocation\r\nSeattle, WA; Austin, TX – 1 day onsite per week (typically Thursdays).\r\nAt 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. This role is targeted for candidates within ~50 miles of Seattle, WA or Austin, TX. Must be able and willing to come to the office once per week.\r\nPrimary Responsibilities\r\nBuild 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.\r\nContribute to evolve cloud-based execution of AI security agent Hai, implementing features that enable natural language security insights, improved reasoning, and secure action workflows in cloud.\r\nImplement features for AI red teaming agents and evaluation tools that help identify risks in LLMs and applied AI systems, supporting safer model development.\r\nCollaborate cross-functionally with Product, Security Research, and Customer Success to translate customer needs into clear engineering requirements and deliverables.\r\nDevelop and integrate APIs that enable secure interactions between AI models, internal services, and third-party systems, adjusting quickly as requirements evolve with Change Agility.\r\nUse metrics, evaluation data, and telemetry to validate model behavior and improve system performance in alignment with Data-Driven Decision Making.\r\nBreak down complex AI and security problems into smaller, fundamental components, applying First Principles Problem Solving to deliver simple, scalable solutions.\r\nStay current with emerging AI security trends, contributing findings and learnings to team discussions and implementation planning.\r\nMinimum Qualifications\r\n5+ years of experience as a software engineer.\r\nMust be able and willing to come to the office once per week (typically Thursdays).\r\nExperience implementing distributed system features within production-grade AI or ML systems, including integrating LLMs or generative AI models into applications.\r\nHands-on experience with ML frameworks such as PyTorch, TensorFlow, or HuggingFace Transformers.\r\nFamiliarity with model deployment workflows, evaluation techniques, or MLOps concepts.\r\nUnderstanding of responsible AI development and basic AI safety considerations.\r\nPreferred Qualifications\r\nExperience contributing to AI development platforms, internal ML tooling, or experimentation workflows.\r\nExposure to agentic frameworks such as ReAct, AutoGen, LangChain, or Semantic Kernel.\r\nExperience with Agentic AI Ops, ML Ops.\r\nFamiliarity with prompt engineering, fine-tuning, RAG architectures, or LLM optimization techniques.\r\nExperience working with cloud AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML).\r\nFamiliarity with full-stack technologies such as Ruby on Rails, GraphQL, or React – especially for integrating AI capabilities into existing systems.\r\nCompensation Bands\r\nSeattle, WA and Austin, TX\r\n$190K – $230K * Offers Equity.\r\nJob Benefits\r\nHealth (medical, vision, dental), life, and disability insurance.*\r\nEquity stock options.\r\nRetirement plans.\r\nPaid public holidays and unlimited PTO.\r\nPaid maternity and parental leave.\r\nLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act).\r\nEmployee Assistance Program.\r\n*Eligibility may differ by country.\r\nWe'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).\r\nVisa/work permit sponsorship is not available.\r\nEmployment at HackerOne is contingent on a background check.\r\nHackerOne 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.\r\nThis 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.\r\nFor U.S. 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.\r\nCompensation Range: $190K – $230K.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T08:05:29.453Z","dateModified":"2026-04-09T08:05:29.453Z","hiringOrganization":{"@type":"Organization","name":"Hackerone","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"90a39e859adeaed1f0360bbb"},"url":"https://jobsearcher.com/jobs/90a39e859adeaed1f0360bbb"}}