AI Operations Engineer

Robinhood; Bellevue (NY); Hybride; USD 120 000 - 190 000; Plein temps

Avantages offerts par ce poste

100% paid health insurance

Equity ownership

401(k) matching

Performance bonus

Résumé du poste

Robinhood is seeking an AI Operations Engineer to support, maintain, and scale the company’s AI infrastructure. You’ll work hands-on with LLM integrations, automation, monitoring, and production systems to enable teams to deploy reliable AI solutions at scale.

This role is based in our offices (Menlo Park, NY, Bellevue) with in-person attendance required at least 3 days per week, offering a fast-paced, high-impact environment for growth and innovation.

Qualifications

• Hands-on experience operating complex production AI platforms.
• Familiarity with LLM integrations (Anthropic Claude, Google Gemini or similar).
• Scripting and automation with Python, Bash, or equivalent.

Responsabilités

• Build and maintain AI operations tooling and automation.
• Support enterprise AI platforms across cloud and on-prem environments.
• Troubleshoot production issues with LLM integrations, APIs, and model behavior.

Connaissances

AI infra

Python scripting

Linux administration

LLM integrations

Troubleshooting

Communication

Outils

Terraform

Kubernetes

Ansible

Monitoring tools

Description du poste

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. the company isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Corporate Engineering team is building and scaling the next generation of enterprise AI infrastructure at the company. Our mission is to make AI capabilities reliable, secure, and accessible across the company, enabling teams to build, deploy, and operate intelligent solutions at scale. From enterprise LLM integrations to agentic workflows and hybrid cloud infrastructure, we're creating the foundation that supports how the company leverages AI internally.

As an AI Operations Engineer, you'll help support, maintain, and improve the AI platforms and infrastructure used by teams across the company. You'll work hands-on with LLM integrations, automation, monitoring, and production systems, partnering with engineers and internal users to troubleshoot issues and build solutions that make our AI capabilities more reliable and easier to use. This is an opportunity to grow your expertise in AI infrastructure while contributing to a rapidly evolving area of Corporate Engineering.

This role is based in our Menlo Park, CA, New York, NY, and Bellevue, WA offices, with in-person attendance expected at least 3 days per week.

At the company, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Build internal tooling, automation, and self-service solutions that 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, working directly with developers and internal teams to identify and resolve problems.

• Support enterprise LLM integrations, including Anthropic Claude and Google Gemini, helping monitor API usage, token consumption, performance, and reliability.

• Implement and maintain monitoring, observability, and deployment workflows for AI systems, identifying 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.

What you bring

• 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.

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

What we offer

• Challenging, high-impact work to grow your career.

• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.

• Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.

• Access to the the company Employee Fund that gives eligible US