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# Software Engineer, AI Platform

- **Company:** Hackerone Platform
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $190,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Decision Support Systems, Software Design Patterns, Distributed Systems, Performance Tuning, Ruby on Rails, Tensorflow, Azure Machine Learning, Software Safety, Systems Integration, Pytorch, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, AI Platforms, Optimization Algorithms, HuggingFace, Graphql, Machine Learning Operations, Virtual Agents, Security Orchestration, Automation & Response, Vulnerability Analysis
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-software-engineer-ai-platform-hackerone-2-7869761

## 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 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, * 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

## 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.

 * Build components and services that integrate Agentic AI design patterns like AI Orchestration, Memory systems, RAG, Long horizon tasks, 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.


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