> Markdown version of [/jobs/ext/2709721-software-engineer-applied-ai](https://www.wearedevelopers.com/jobs/ext/2709721-software-engineer-applied-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Applied AI - **Company:** Hackerone Inc. - **Location:** Seattle, WA, United States (Remote available) - **Experience:** Experienced - **Salary:** $166,000.0 - $203,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Decision Support Systems, Statistical Hypothesis Testing, Performance Tuning, Ruby on Rails, Tensorflow, Azure Machine Learning, Systems Integration, Web Services, Pytorch, ReactJS, Large Language Models, Prompt Engineering, Generative AI, AI Platforms, HuggingFace, Graphql, Security Orchestration, Automation & Response, Vulnerability Analysis - **Published:** September 4, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/86391796/1 ## About the Role * 3+ years of experience as a software engineer, with hands-on experience building production systems * Experience integrating LLMs or generative AI models into applications Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or HuggingFace Transformers * Must be able and willing to come to the office once per week (typically Thursdays), * 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 ## Description 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., Success in the AI Engineer role will be accomplished by delivering on the responsibilities below in alignment with the Values and Talent Principles that define how we work at HackerOne. * 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. ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Collaborative Intelligence: The Human & AI Partnership](https://www.wearedevelopers.com/videos/1097-collaborative-intelligence-the-human-ai-partnership) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)