Software Engineer, Applied AI

Position Summary

At HackerOne, we’re revolutionizing offensive security by combining human intelligence with artificial intelligence to help organizations build a safer internet. As an AI Engineer on our AI Platform team, you will contribute to the development of next-generation AI security capabilities, including our in-platform AI security agent, Hai. You will implement AI-powered features that enhance vulnerability discovery, improve security analysis workflows, and expand how thousands of customers detect and respond to emerging threats.

Primary Responsibilities

• Apply an AI First mindset by building and integrating AI capabilities such as LLM-powered workflows, RAG pipelines, or orchestration components that enhance vulnerability detection and security automation.
• Demonstrate First Principles Problem Solving by breaking down AI and security challenges into clear components, identifying core assumptions, and implementing simple, maintainable solutions.
• Use Data-Driven Decision Making to evaluate model performance, test hypotheses, analyze telemetry, and iterate on features based on measurable impact.
• Practice Change Agility by adapting to evolving AI frameworks, product requirements, and security considerations while maintaining delivery momentum.
• Contribute to the development of our AI security agent, Hai, implementing features that enable natural language insights, reasoning workflows, and secure model interactions.
• Build and maintain APIs and services that enable secure interactions between AI models, internal systems, and third-party platforms.
• Partner cross-functionally with Product, Security Research, and Customer Success to clarify requirements, translate user needs into technical tasks, and deliver reliable solutions.
• Stay current with emerging AI and AI security trends, sharing learnings with the team and incorporating relevant advancements into your work.

Minimum Qualifications

• 3+ years of experience as a software engineer, with hands-on experience building production systems.
• Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or HuggingFace Transformers.
• Mandatory to come to the office once per week (typically Thursdays).

Preferred Qualifications

• Familiarity with agentic frameworks such as ReAct, AutoGen, LangChain, or Semantic Kernel.
• Experience with RAG architectures, prompt engineering, fine-tuning, or LLM evaluation techniques.
• Exposure to cloud AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML).
• Familiarity with full-stack technologies such as Ruby on Rails, GraphQL, or React for integrating AI features into production systems.