Staff Software Engineer, Applied AI

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 U.S. 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).HackerOne 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.HackerOne Values HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne isCustomer Obsessedand prioritizes customer outcomes in our decisions and actions. WeDefault to Disclosureby operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partnersWin Togetherby fostering empowerment, inclusion, respect, and accountability.Staff Software Applied AI EngineerLocation: Seattle, WA; Austin, TX; Boston, MA; Washington, DC1 day onsite per week Position SummaryAt HackerOne, we're advancing a new era ofAI-powered offensive security . As aStaff AI Engineer , you'll help shape the evolution of our autonomousHAI platform , driving the integration of advanced AI and agentic frameworks into HackerOne's products. You will build intelligent security agents that reason, act, and learn - helping security teams identify, validate, and remediate vulnerabilities faster than ever. This is a high-impact technical role, reporting to theVP, AI Engineering , where you will architect the systems and frameworks that power the next generation ofAI-driven vulnerability discovery . 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 ofSeattle, WA; Boston, MA; Washington, DC; or Austin, TX . We believe this balance of proximity and flexibility gives Hackeronies 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 on Thursdays.What You Will DoSuccess in theStaff AI Engineerrole will be accomplished by delivering on the responsibilities below in alignment with theTalent Principlesthat define how we work at HackerOne. Architect and enhance our autonomous security agent "Hai," building intelligent systems capable of natural-language reasoning, vulnerability detection, and actionable recommendations, all grounded in anAI-Firstmindset.Build components and services that integrate agentic AI design patterns-such as orchestration, memory systems, RAG, long-horizon tasks, and LLM-based models-into the HackerOne platform, applying anAI-Firstapproach to improve vulnerability detection and security automation.Partner across Product, Security Research, and Engineering to introduce AI capabilities into the broader HackerOne ecosystem. As the company evolves rapidly, bring clarity and stability to shifting requirements by demonstrating strongChange Agility .Design and implement AI red-teaming agents and frameworks that proactively surface weaknesses in LLMs, generative-AI systems, and applied AI deployments, usingFirst Principles Problem Solvingto break problems down and build durable, foundational solutions.Establish meaningful metrics, observability, evaluation frameworks, and continuous feedback loops to improve model performance, safety, and user impact-ensuring decisions are grounded inData-Driven Decision Making .Stay current with emerging AI safety research, adversarial-testing techniques, and agentic-system patterns, and integrate those learnings into HackerOne's responsible-AI strategy with adaptability and a growth-orientedChange Agilitymindset.Build APIs and integrations that enable seamless interaction between AI models, security tools, and the broader HackerOne platform, ensuring security, scalability, and interoperability across systems.Minimum Qualifications8+ years of experience as asoftware engineer , including deep experience building and maintainingproduction-grade AI platformsand infrastructure.Must be able and willing to come to the office once per week (typically Thursdays).Proven expertise inlarge language models (LLMs), generative AI, and machine learning frameworkssuch asTensorFlow, PyTorch, and Transformersin production environments.Strong hands-on experience inAI platform engineering , includingmodel deployment, MLOps pipelines, model serving infrastructure , andshared AI services architecture .Experience building systems that supportmultiple AI product teams and applications , enabling scalable experimentation and deployment.Solid understanding ofAI safety and alignment principles , includingresponsible AI development, bias mitigation, and ethical AI practices .Preferred QualificationsExperience buildingAI development platforms ,model registries ,experimentation frameworks , and tools that accelerate AI innovation across organizations.Familiarity withReAct ,AutoGen , orSemantic Kernelforagentic orchestrationand multi-agent collaboration.Experience inagent action routing ,secure tool usage APIs , andfeedback loopsfor autonomous agents.Knowledge ofprompt engineering ,fine-tuning ,retrieval-augmented generation (RAG) , andadvanced LLM optimizationstrategies.Experience withcloud-based AI/ML services(AWS Bedrock, GCP Vertex AI, Azure ML) andcontainerization technologies(Docker, Kubernetes) for AI workloads.Familiarity withRuby on Rails ,GraphQL , andReact , and experience integrating AI capabilities into production web applications and APIs.Compensation Bands: Seattle, WA; Boston, MA; Washington, DC; or Austin, TX$230K - $280K * Offers Equity#LI-HM1 Job 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 country We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner withRemote.comas 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. Compensation Range: $230K - $280K