AI Operations Engineer

🕒 5 days ago

🇺🇸 United States – Remote

💵 $110k - $165k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

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👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ClickHouse

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

SaaS • Enterprise • Artificial Intelligence

ClickHouse is a fast and resource-efficient real-time data warehouse and open-source database that is designed to deliver superior query performance for mission-critical and time-sensitive applications. It is available as a cloud service on major platforms like AWS, GCP, and Azure, with a "Bring Your Own Cloud" option and a wide range of integrations for seamless operation within diverse tech stacks. ClickHouse excels in real-time analytics, machine learning, business intelligence, and observability, making it an ideal choice for tasks such as financial services, fraud detection, and gaming analytics. It supports developer-friendly SQL operations, offers cost-effective storage solutions, and provides an open-source alternative to traditional databases. Companies like Sony, Lyft, Cisco, GitLab, and Twilio leverage ClickHouse for its scalability, efficiency, and ease of use.

📋 Description

• Develop and deploy AI-driven solutions using LLMs, automation frameworks, and internal tooling • Integrate AI with HRIS, ATS, ERP, procurement orchestration, ticketing, CI/CD, developer tooling, CLM, and Matter Management systems • Build document generation, data extraction, knowledge retrieval, and decision-support workflows • Use modern integration standards such as MCP to provide secure access to internal knowledge and context • Test and benchmark AI models for accuracy, latency, cost, and safety • Support model risk assessments and due diligence with Security and GRC • Implement and maintain internal model routing solutions • Build dashboards and reporting for AI/LLM spend • Implement cost tagging, monitoring, and anomaly alerting • Execute cost optimization through prompt efficiency, caching, and model right-sizing • Provision, credential, de-provision, deploy, version, monitor, patch, and retire AI agents and infrastructure • Maintain audit trails and logging for agent actions • Design and deliver company-wide AI training programs • Create playbooks, guides, templates, and reusable components for safe AI adoption • Run onboarding sessions, office hours, and workshops • Establish feedback loops to improve training, tooling, and documentation • Work under a Technical Lead and report within the IT Operations AI Engineering function to the IT Business Systems Manager

🎯 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 (AWS, GCP, or Azure) • Experience hosting or operating services in production • Experience comparing and evaluating AI models across providers, including cost, latency, and quality trade-offs • Comfort working with usage and billing data for cost visibility, forecasting, or optimization • Ability to understand business and engineering workflows and translate them into technical solutions • Experience working with or integrating business systems and engineering/developer tooling • Experience creating training materials, documentation, or workshops for mixed technical/non-technical audiences • Understanding of data privacy, security, and compliance considerations • Experience implementing AI safeguards, including identity and access controls for automated/non-human actors

🏖️ Benefits

• Employer contributions towards healthcare • Equity in the company; stock options for every new team member • Flexible time off in the US • Generous time-off entitlement in other countries • USD$500 home office setup for remote employees • Global company-wide offsites and opportunities for in-person connection • Flexible work environment • Remote-friendly work arrangement

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