AI Operations Engineer

Robinhood; Menlo Park (CA); On-site; USD 132,000 - 155,000; Full time

Benefits offered by this job

Health insurance

Dependent coverage

401(k) match

Fertility benefits

AI tools training

Job summary

Robinhood is seeking an AI Operations Engineer to support, maintain, and improve AI platforms and infrastructure used across the company. You will work hands‑on with LLM integrations, automation, monitoring, and production systems to ensure reliability and security.

You will build internal tooling and self‑service solutions, support hybrid cloud and on‑prem environments, and collaborate with developers to optimize AI workflows and performance.

Qualifications

• Experience in IT Operations, Site Reliability Engineering, or AI infrastructure.
• Experience with AI platforms and LLM integrations (Anthropic Claude, Google Gemini).
• Linux administration and scripting with Python/Bash.
• Familiarity with infrastructure tools such as Terraform, Ansible, Chef, or Kubernetes.
• Experience troubleshooting production systems and using monitoring/observability tools.

Responsibilities

• Build internal tooling, automation, and self‑service solutions for AI operations.
• Maintain enterprise AI platforms and infrastructure across cloud and on‑prem environments.
• Troubleshoot issues involving LLM integrations, APIs, model behavior, and system performance.
• Monitor enterprise LLM integrations, API usage, token consumption, and reliability.
• Implement and maintain monitoring, observability, and deployment workflows for AI systems.

Skills

IT Operations

AI infrastructure

LLM integrations

Linux administration

Python / Bash

Monitoring / observability

Tools

Terraform

Ansible

Chef

Kubernetes

Python

Bash

Job description

Robinhood's Corporate Engineering team is building enterprise AI infrastructure to make AI capabilities reliable, secure, and accessible across the company. As an AI Operations Engineer, you will support, maintain, and improve AI platforms and infrastructure used by teams across Robinhood, working hands‑on with LLM integrations, automation, monitoring, and production systems.

What You’ll Do

• Build internal tooling, automation, and self‑service solutions that streamline AI operations, reduce manual intervention, and improve developer experience
• Support and maintain enterprise AI platforms and infrastructure across cloud‑based and on‑premises environments to ensure reliable performance and availability
• Troubleshoot technical issues involving LLM integrations, APIs, model behavior, and system performance, working with developers and internal teams
• Support enterprise LLM integrations including Anthropic Claude and Google Gemini, monitoring API usage, token consumption, performance, and reliability
• Implement and maintain monitoring, observability, and deployment workflows for AI systems to identify issues and improve operational efficiency

What You Need

• 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

Nice to Have

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

Base pay range varies by location: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $132,000–$155,000 USD; Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $116,000–$136,000 USD; Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $103,000–$121,000 USD.

Bonus opportunities, equity, benefits include 100% paid health insurance for employees, 90% coverage for dependents, 401(k) matching, life and disability insurance, fertility benefits, mental health benefits, paid time off, parental leave, and access to AI tools and training.