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Описание вакансии
Текст:
TL;DR
AI Ops Engineer (AI/LLM): Building and operating AI-powered workflows, agents, integrations, and model-routing solutions across business and engineering systems with an accent on model evaluation, cost visibility, security, and lifecycle management. Focus on deploying agent infrastructure, optimizing AI spend, integrating internal knowledge through MCP, and delivering training for technical and non-technical users.
Location: AMER; remote-friendly in a globally distributed company operating across more than 25 countries.
Salary: Tier 1 $130,000–$165,000 annually with equity; Tier 2 $110,000–$145,000 annually with equity. US-based roles may receive premium market ranges in the San Francisco Bay Area and New York City Metro Area.
Company
ClickHouse is a rapidly scaling software startup building and operating ClickHouse, with a globally distributed workforce.
What you will do
- Design, build, deploy, and maintain AI-powered solutions using LLMs, automation frameworks, internal tooling, and modern integration standards such as MCP.
- Integrate AI workflows with HRIS, ATS, ERP, procurement, ticketing, CI/CD, developer tooling, CLM, Matter Management, and internal knowledge bases.
- Build document generation, data extraction, knowledge retrieval, decision-support, and model-routing workflows.
- Evaluate models for accuracy, latency, cost, quality, safety, and risk while supporting model due diligence with Security and GRC.
- Develop AI spend dashboards, tagging, monitoring, anomaly alerts, forecasting, and cost-optimization initiatives.
- Provision, monitor, version, patch, audit, and retire AI agents and their infrastructure; deliver training, workshops, playbooks, and office hours.
Requirements
- Experience building with modern AI/ML tools and frameworks.
- Experience building and consuming APIs, developing data pipelines, and architecting system integrations.
- Working knowledge of AWS, GCP, or Azure and experience operating production services.
- Ability to compare AI models across cost, latency, quality, accuracy, and safety dimensions.
- Experience with business systems, engineering or developer tooling, usage and billing data, or AI cost optimization.
- Understanding of data privacy, security, compliance, identity, access controls, and safeguards for non-human actors; ability to create training materials for mixed audiences.
Culture & Benefits
- Remote-friendly and globally distributed work environment.
- Healthcare contributions from the employer.
- Stock options for every new team member.
- Flexible time off in the US and generous entitlement in other countries.
- USD $500 home-office setup budget for remote employees.
- Opportunities to attend company-wide offsites and global gatherings.
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