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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Hackerone Platform - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $182,000.0 - $222,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Decision Support Systems, Distributed Systems, Ruby on Rails, Cloud Services, Azure Machine Learning, Software Safety, Systems Integration, ReactJS, Large Language Models, AI Platforms, Graphql, Machine Learning Operations, Virtual Agents, GPT - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-software-engineer-platform-hackerone-2-7890267 ## About the Role * 5+ years of experience as a software engineer * Must be able and willing to come to the office once per week (typically Thursdays). * Experience working with cloud services like AWS, GCP or Azure. * Experience implementing distributed system features within production-grade AI or ML systems, including integrating LLMs or generative AI models into applications * Familiarity with model deployment workflows, evaluation techniques, or MLOps concepts * Understanding of responsible AI development and basic AI safety considerations Preferred Qualifications * Experience working with cloud AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML) * Experience with Agentic AI Ops, ML Ops. * Exposure to agentic frameworks such as ReAct, AutoGen, LangChain, or Semantic Kernel * Familiarity with full-stack technologies such as Ruby on Rails, GraphQL, or React-especially for integrating AI capabilities into existing systems ## Description 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., 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. * Contribute to the evolution of the cloud-based execution platform for the AI security agent Hai, implementing features that enable natural language-driven security insights, improved reasoning, and secure action workflows. * Design and implement core components for end-to-end execution of security agents, including agent execution frameworks, memory services, RAG services, and observability systems. * Operate with an AI-first mindset, leveraging tools such as Claude Code and ChatGPT Enterprise to significantly improve productivity across coding, design documentation, on-call response, and customer escalation handling. * 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 distributed systems and security problems into smaller, fundamental components, applying First Principles Problem Solving to deliver simple, scalable solutions. ## 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) - [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) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [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) - [GraphQL + Apollo + Next.js: A Lovely Trio](https://www.wearedevelopers.com/videos/311-graphql-apollo-next-js-a-lovely-trio) - [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)