AI Operations Engineer

Robinhood•Bellevue, NY

7h•Onsite

About The Position

The Corporate Engineering team builds and scales enterprise AI infrastructure at Robinhood, making AI capabilities reliable, secure, and accessible across the company. This role supports, maintains, and improves AI platforms and infrastructure used by teams across Robinhood. The engineer works hands-on with LLM integrations, automation, monitoring, and production systems, partnering with engineers and internal users to troubleshoot issues and make AI capabilities more reliable and easier to use. The position is based in the Menlo Park, California; New York, New York; or Bellevue, Washington office, with in-person attendance expected at least three days per week. The role supports cloud-based and on-premises environments and enterprise LLM integrations, including Anthropic Claude and Google Gemini.

Requirements

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

Nice To Haves

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

Responsibilities

Build internal tooling, automation, and self-service solutions to streamline AI operations, reduce manual intervention, and improve the developer experience.
Support and maintain enterprise AI platforms and infrastructure across cloud-based and on-premises environments, helping ensure reliable performance and availability.
Troubleshoot technical issues involving LLM integrations, APIs, model behavior, and system performance in collaboration with developers and internal teams.
Support enterprise LLM integrations, including Anthropic Claude and Google Gemini, and help monitor API usage, token consumption, performance, and reliability.
Implement and maintain monitoring, observability, and deployment workflows for AI systems; identify issues and opportunities to improve operational efficiency.
Collaborate with Product, Software Engineering, Business Systems, and AI Strategy teams to gather feedback, investigate recurring issues, and improve the reliability and usability of enterprise AI solutions.

Benefits

Performance-driven compensation with multipliers for outsized impact, bonus programs, and equity ownership.
401(k) matching.
100% paid health insurance for employees and 90% coverage for dependents.
Access for eligible US employees to the Robinhood Employee Fund, which provides exposure to Robinhood Ventures funds.
Access to AI tools and continuous AI skill-building for every employee.
Lifestyle wallet, a flexible benefits spending account for wellness, learning, and more.
Employer-paid life and disability insurance.
Fertility benefits.
Mental health benefits.
Company holidays, paid time off, sick time, parental leave, and more.
Catered meals, events, and comfortable workspaces.