# AI Operations Engineer

**Company**: ClickHouse
**Location**: NAMER and LatAm
**Job type**: full-time
**Salary**: $110K - $165K
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/clickhouse/e0a5ee0f-44b9-4b96-8504-b576cc843966?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6478555b-00f

## Description

We are looking for an AI Ops Engineer to help build and run a new AI Ops function at ClickHouse. You will work under a Technical Lead to design, build, and maintain AI-driven solutions across the business and engineering.

**About the Team** IT Operations at ClickHouse keeps the company's internal systems, tooling, and infrastructure running securely and efficiently. This role sits on a newly formed AI Engineering function within IT Operations, created to centralize AI Ops.

**About the Role** You will work on designing, building, and maintaining AI-driven solutions across the business and engineering. You will build integrations, maintain agents, support cost visibility, and help train the org on AI best practices.

**Success** The team is measured on:

- Measurable reduction in redundant or inefficient AI tool and model spend

- A working framework for evaluating and selecting models/tools by cost, latency, accuracy, and risk

- Agents and AI workflows built, deployed, and maintained cross-functionally

- Improved AI fluency and literacy org-wide

- Established identity, access, audit, and lifecycle practices for AI agents

**Responsibilities**

- Build AI-Powered Solutions: Develop and deploy solutions using LLMs, automation frameworks, and internal tooling

- Support Model Evaluation: Help test and benchmark AI models against accuracy, latency, cost, and safety criteria

- Support Cost Visibility: Help build dashboards and reporting for AI/LLM spend across teams and tools

- Maintain Agent Infrastructure: Help provision, credential, and de-provision AI agent access

- Deliver Training and Enablement: Design and deliver company-wide AI training programs

**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 cloud infrastructure and experience hosting or operating services in production

- Experience comparing and evaluating AI models across providers

- Comfort working with usage and billing data to build cost visibility

- Ability to understand both business and engineering workflows and translate them into technical solutions

**Perks**

- Flexible work environment

- Healthcare

- Equity in the company

- Time off

- A USD$500 Home office setup

- Global Gatherings

## Skills

### Required
- modern AI/ML tools and frameworks
- building and consuming APIs
- cloud infrastructure
- evaluating AI models
- cost visibility
- data pipelines
- system integrations
- data privacy
- security
- compliance considerations

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/clickhouse/e0a5ee0f-44b9-4b96-8504-b576cc843966?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)