Build internal tooling, automation, and self-service solutions that streamline AI operations, reduce manual intervention, and improve the developer experience.
Own complex technical troubleshooting and escalations across AI platforms, working directly with developers and internal teams to resolve issues involving LLM integrations, model behavior, APIs, and system performance.
Manage and optimize enterprise integrations with LLM providers, including Anthropic Claude and Google Gemini, focusing on performance, token utilization, reliability, and cost efficiency.
Develop and improve observability, monitoring, and deployment pipelines for AI workloads, tracking metrics such as inference latency, API costs, token usage, and error rates.
Support and optimize agentic workflows, orchestration layers, vector databases, and retrieval-augmented generation (RAG) systems to improve reliability and scalability.
Partner with Product, Software Engineering, Business Systems, and AI Strategy teams to identify recurring issues, incorporate user feedback, and drive long-term improvements to enterprise AI capabilities.
What you bring
5+ years of experience in IT Operations, Site Reliability Engineering, or AI infrastructure and support, with a track record of operating complex production systems.
Hands-on experience with enterprise AI platforms and LLM integrations, particularly Anthropic Claude and Google Gemini, including API integrations, prompt operations, and token management.
Strong Linux administration skills and proficiency in scripting and automation using Python, Bash, or similar languages.
Experience with infrastructure provisioning, configuration management, and orchestration tools such as Terraform, Ansible, Chef, or Kubernetes.
Strong understanding of production infrastructure, system reliability, monitoring, and troubleshooting across cloud or on-premises environments.
Ability to independently investigate ambiguous technical problems, identify root causes, and develop scalable solutions that prevent recurring issues.
Strong communication and collaboration skills, with experience partnering directly with developers and cross-functional teams to resolve technical challenges.
Bonus: Experience with GPU clusters, AI workload orchestration (Slurm, Ray), vector databases (Pinecone, Milvus), AI frameworks (LangChain, LlamaIndex), or hybrid cloud and bare-metal infrastructure.
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 Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds.
Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not.
Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more.
Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
Exceptional office experience with catered meals, events, and comfortable workspaces.
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Base Pay Range:
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)
$153,000 — $180,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)
$134,000 — $158,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)
$119,000 — $140,000 USD
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.