Staff Software Engineer, Applied AI
HackerOne · Seattle
About this role
## HackerOne — Staff Software Engineer, Applied AI ### Location Remote (targeting candidates within ~50 miles of Seattle, WA). Must be able and willing to come to the office **once per week (typically Thursdays)**. ### About the Role HackerOne is advancing a new era of **AI-powered offensive security**. As a **Staff AI Engineer**, you’ll help shape the evolution of the autonomous **HAI** platform—integrating advanced AI and agentic frameworks into HackerOne products. You’ll build intelligent security agents that **reason, act, and learn** to help security teams **identify, validate, and remediate vulnerabilities faster**. This is a high-impact technical role reporting to the **VP, AI Engineering**, where you’ll architect the systems and frameworks powering the next generation of AI-driven vulnerability discovery. ### Primary Responsibilities - Architect and enhance the autonomous security agent **“Hai”** with natural-language reasoning, vulnerability detection, and actionable recommendations. - Build components and services integrating agentic AI patterns such as **orchestration, memory systems, RAG, long-horizon tasks, and LLM-based models**. - Partner across **Product, Security Research, and Engineering** to introduce AI capabilities across the HackerOne ecosystem; demonstrate **Change Agility** as requirements evolve. - Design and implement **AI red-teaming agents and frameworks** to proactively surface weaknesses in LLMs, generative-AI systems, and applied AI deployments. - Establish **metrics, observability, evaluation frameworks, and continuous feedback loops** to improve model performance, safety, and user impact. - Stay current with AI safety research, adversarial testing techniques, and agentic-system patterns; integrate learnings into HackerOne’s responsible-AI strategy. - Build **APIs and integrations** enabling seamless interaction between AI models, security tools, and the broader HackerOne platform. ### Minimum Qualifications - **8+ years** of software engineering experience, including deep experience building and maintaining **production-grade AI platforms and infrastructure**. - Ability and willingness to come to the office **once per week (typically Thursdays)**. - Proven expertise in **LLMs, generative AI, and ML frameworks** (e.g., TensorFlow, PyTorch, Transformers) in production. - Strong hands-on AI platform engineering experience (deployment, **MLOps pipelines**, model serving infrastructure, shared AI services architecture). - Experience supporting multiple AI product teams and applications for scalable experimentation and deployment. - Solid understanding of **AI safety and alignment** (responsible AI, bias mitigation, ethical AI practices). ### Preferred Qualifications - Experience building AI development platforms, model registries, experimentation frameworks, and tools that accelerate org-wide AI innovation. - Familiarity with **ReAct, AutoGen, or Semantic Kernel** for agentic orchestration and multi-agent collaboration. - Experience with agent action routing, secure tool usage APIs, and feedback loops for autonomous agents. - Knowledge of prompt engineering, fine-tuning, **RAG**, and advanced LLM optimization. - Experience with cloud AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML) and containerization (Docker, Kubernetes). - Familiarity with **Ruby on Rails, GraphQL, and React**, and integrating AI into production web apps and APIs. ### Benefits - Health (medical, vision, dental), life, and disab
Listing freshness
CronJobs last confirmed this listing 2h ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.