Назад
12 часов назад

AI Operations Engineer (AI)

170 000 - 220 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
AI Operations Engineer (AI/LLM): Building and operating AI-powered workflows, agents, integrations, and model-routing solutions across business and engineering systems with an accent on secure agent infrastructure, model evaluation, and AI cost visibility. Focus on integrating LLMs with internal platforms, optimizing model spend and performance, and establishing identity, access, audit, and lifecycle practices for AI agents.

Location: AMER; compensation information applies to roles based in the United States, with premium ranges for the San Francisco Bay Area and New York City Metro Area.

Salary: $170,000–$220,000 USD annually in the US; $200,000–$250,000 USD annually in US premium markets.

Company

ClickHouse is a fast-growing cloud company focused on real-time analytics, data warehousing, observability, and AI workloads.

What you will do

  • Develop and deploy LLM-powered solutions, automation workflows, and internal AI tooling for business and engineering use cases.
  • Integrate AI with HRIS, ATS, ERP, procurement, ticketing, CI/CD, developer tooling, CLM, and matter management systems.
  • Build document generation, data extraction, knowledge retrieval, and decision-support workflows using internal systems and knowledge bases.
  • Evaluate and benchmark models for accuracy, latency, cost, safety, and risk, and help maintain model routing.
  • Build AI spend dashboards, monitoring, tagging, alerting, and cost-optimization mechanisms.
  • Provision, monitor, version, patch, audit, and retire AI agents while delivering training, workshops, playbooks, and documentation.

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.
  • Experience evaluating AI models across cost, latency, quality, and safety trade-offs.
  • Ability to work with usage and billing data, understand business and engineering workflows, and translate them into technical solutions.
  • Understanding of data privacy, security, compliance, identity, access controls, and safeguards for AI systems.

Nice to have

  • Experience integrating business systems and engineering or developer tooling.
  • Experience creating training materials, documentation, or workshops for mixed technical and non-technical audiences.

Culture & Benefits

  • Flexible work environment at a globally distributed, remote-friendly company operating in more than 20 countries.
  • Employer healthcare contributions and company stock options.
  • Flexible time off in the US and generous leave entitlement in other countries.
  • $500 home office setup allowance for remote employees.
  • Company-wide offsites and global gatherings.

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