AI Operations Engineer

Location: Menlo Park, CA; New York, NY; Bellevue, WA, with in-person attendance expected at least 3 days per week.

Base pay: $132,000–$155,000 USD annually in Zone 1; $116,000–$136,000 USD in Zone 2; $103,000–$121,000 USD in Zone 3. Additional bonus, equity, and benefits are available.

Company

Robinhood is a fintech company building enterprise AI infrastructure to support reliable, secure, and accessible intelligent solutions across its financial platform.

What you will do

• Build internal tooling, automation, and self-service solutions for AI operations and developer experience.
• Support and maintain enterprise AI platforms across cloud-based and on-premises infrastructure.
• Troubleshoot LLM integrations, APIs, model behavior, production systems, and performance issues.
• Support Anthropic Claude and Google Gemini integrations, monitoring API usage, token consumption, performance, and reliability.
• Implement monitoring, observability, and deployment workflows for AI systems.
• Collaborate with Product, Software Engineering, Business Systems, and AI Strategy teams to improve enterprise AI reliability and usability.

Requirements

• Experience in IT Operations, Site Reliability Engineering, or AI infrastructure and support, operating complex production systems.
• Practical experience with AI platforms, LLM integrations, or AI-powered applications, including Anthropic Claude, Google Gemini, or similar models.
• Working knowledge of Linux administration and scripting or automation with Python, Bash, or similar languages.
• Familiarity with infrastructure management, configuration, or orchestration tools such as Terraform, Ansible, Chef, or Kubernetes.
• Experience troubleshooting production systems and using monitoring or observability tools.
• Strong problem-solving skills, curiosity, and interest in emerging AI technologies and infrastructure.
• Ability to communicate technical issues clearly and collaborate with developers, engineers, and internal stakeholders.

Nice to have

• Exposure to GPU infrastructure, AI workload orchestration, vector databases, RAG applications, agentic frameworks, or hybrid cloud environments.

Culture & Benefits

• High-impact work focused on enterprise AI infrastructure and continuous AI skill-building.
• Performance-driven compensation with bonus programs, equity ownership, and 401(k) matching.
• Health insurance, employer-paid life and disability insurance, fertility and mental health benefits.
• Paid time off, sick time, company holidays, parental leave, and a flexible lifestyle wallet.
• In-person office experience with catered meals, events, and supported workspaces.