Hiring: Staff Software Engineer, Applied AI Company: HackerOne Location: Washington, DC Job Posted Time: 2026-09-17 14:04:11 Employment Type: Remote Target Skills & Keywords : AWS, Azure, Docker, Fine-tuning, GCP, GraphQL, Kubernetes, LLM, MLOps, Machine Learning, PyTorch, RAG, Rails, React, TensorFlow, Transformers, Vertex AI About the job Experience: •8+ years of experience as a software engineer, including deep experience building and maintaining production-grade AI platforms and infrastructure. Required Skills: •. As a Staff AI Engineer •, you’ll help shape the evolution of our autonomous •, driving the integration of advanced AI and agentic frameworks into HackerOne’s products. •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 the VP, AI Engineering •, where you will architect the systems and frameworks that power the next generation of AI-driven vulnerability discovery •. 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. •Success in the role will be accomplished by delivering on the responsibilities below in alignment with the Talent Principles that 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 an AI-First mindset. Qualifications: •Must be able and willing to come to the office once per week (typically Thursdays). •Proven 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. •Solid understanding of AI safety and alignment principles, including responsible AI development, bias mitigation, and ethical AI practices. •Operational familiarity with ReAct, AutoGen, or Semantic Kernel for agentic orchestration and multi-agent collaboration. •Knowledge of prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and advanced LLM optimization strategies. •Operational familiarity with Ruby on Rails, GraphQL, and React, and experience integrating AI capabilities into production web applications and APIs. Compensation: •Flexible work environment (work from home / hybrid options) •Health (medical, vision, dental), life, and disability insurance* Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!