AI Operations Engineer
About The Position
The AI Operations Engineer will support, maintain, and improve the AI platforms and infrastructure used by teams across Robinhood. The role involves hands-on work with LLM integrations, automation, monitoring, and production systems, in partnership with engineers and internal users to troubleshoot issues and make AI capabilities more reliable and easier to use. The Corporate Engineering team builds and scales enterprise AI infrastructure, including enterprise LLM integrations, agentic workflows, and hybrid cloud infrastructure. The position is based in the Menlo Park, California; New York, New York; or Bellevue, Washington offices, and requires in-person attendance at least three days per week.
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.
- 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 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 issues involving LLM integrations, APIs, model behavior, and system performance 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, identifying operational issues and opportunities for improvement.
- 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, bonus programs, equity ownership, and 401(k) matching.
- 100% paid health insurance for employees, with 90% coverage for dependents.
- Eligible U.S. employees may access the Robinhood Employee Fund, which provides exposure to Robinhood Ventures funds.
- Access to AI tools and continuous AI skill-building.
- Lifestyle wallet benefits spending account for wellness, learning, and more.
- Employer-paid life and disability insurance.
- Fertility benefits and mental health benefits.
- Company holidays, paid time off, sick time, parental leave, and more.
- Catered meals, events, and comfortable workspaces.
- Bonus opportunities and equity.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
