Gen AI Engineer
ArangoDB
CloudDockerKubernetesLinuxNoSQLPythonSQL
Staff Software Engineer – Applied AI
HackerOne
full-time
Posted on:
Location Type: Remote
Location: Remote • Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $205,000 - $256,000 per year
Job Level
Lead
Tech Stack
PyTorchTensorflow
About the role
- Build and evolve our autonomous AI security agent “Hai” with capabilities to plan, reason, and take secure actions including vulnerability detection, threat intelligence generation and automated security analysis
- Build and enhance our AI security agent "Hai" to provide instant security insights, natural language query processing, and actionable recommendations for security teams
- Develop AI red teaming agents and frameworks that help identify vulnerabilities in large language models, generative AI systems, and applied AI deployments
- Collaborate with product teams to integrate AI capabilities that enhance vulnerability discovery, validation, and remediation
- Create APIs and integrations that enable seamless interaction between AI models, security tools, and the broader HackerOne ecosystem
- Partner with cross-functional teams including Product, Security Research, and Customer Success to translate AI innovations into customer-facing security solutions
- Integrate emerging agentic frameworks and LLM-based orchestration tools (e.g., LangChain, Semantic Kernel, AutoGen, OpenAgents) to power stateful AI agents with access to security tools, APIs, and third-party systems
- Stay current with emerging AI security threats, research cutting-edge AI safety techniques, and contribute to the development of industry-leading AI security standards
Requirements
- 8+ years of experience as a software engineer
- Experience building production-grade AI platforms and infrastructure that support multiple AI product teams and applications
- Strong hands-on experience with large language models (LLMs), generative AI, and machine learning frameworks (TensorFlow, PyTorch, Transformers) in production environments
- Expertise in AI platform engineering including model deployment, MLOps pipelines, model serving infrastructure, and shared AI services architecture
- Solid understanding of AI safety and alignment principles, including responsible AI development, bias mitigation, and ethical AI practices
Benefits
- Health (medical, vision, dental), life, and disability insurance*
- Equity stock options
- Retirement plans
- Paid public holidays and unlimited PTO
- Paid maternity and parental leave
- Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)
- Employee Assistance Program
- Flexible Work Stipend
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI platform engineeringlarge language modelsgenerative AImachine learning frameworksMLOps pipelinesmodel deploymentmodel serving infrastructureAPI developmentvulnerability detectionautomated security analysis
Soft skills
collaborationcommunicationproblem-solvingcross-functional teamworkcustomer-facing solutions
