Senior Software Engineer, AI Platform

About HackerOne

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

• Customer Obsessed: Prioritizes customer outcomes in our decisions and actions.
• Default to Disclosure: Operates with transparency and integrity, ensuring trust and accountability.
• Win Together: Fosters empowerment, inclusion, respect, and accountability among employees, researchers, customers, and partners.

Position Summary

At 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, 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 (typically Thursdays).

Primary Responsibilities

Success in this role will be accomplished by delivering the responsibilities below in alignment with HackerOne’s Talent Principles: AI-First, Change Agility, Data-Driven Decision Making, and First Principles Problem Solving.

• Build components and services that integrate Agentic AI design patterns like AI Orchestration, Memory systems, RAG, LLM-based models into the HackerOne platform, applying an AI-First approach to enhance vulnerability detection and security automation.
• Contribute 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.
• 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.

Minimum Qualifications

• 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 distributed system 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.

Preferred Qualifications

• Experience contributing to AI development platforms, internal ML tooling, or experimentation workflows.
• Exposure to agentic frameworks such as ReAct, AutoGen, LangChain, or Semantic Kernel.
• Experience with Agentic AI Ops, ML Ops.
• Familiarity with prompt engineering, fine-tuning, RAG architectures, or LLM optimization techniques.
• Experience working with cloud AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML).
• Familiarity with full-stack technologies such as Ruby on Rails, GraphQL, or React—especially for integrating AI capabilities into existing systems.