AI Operations Engineer
Core
Design, build, and maintain AI-driven solutions, agents, and workflows across business and engineering functions while establishing cost visibility and evaluation frameworks.
Role type
AI Operations Engineer (hands-on IC)
Builds
AI-powered solutions, agents, and workflows for business and engineering use cases
Domain
Enterprise AI operations, cloud infrastructure, and system integration
Deliverable
production ML models
Required skills
LLM development and deployment, API integration, cloud infrastructure operations, AI model evaluation, cost optimization, agent lifecycle management, training program design, data privacy and security
Preferred skills
MCP standards, prompt engineering, shadow AI management, cross-functional stakeholder enablement
Technologies
LLMs, automation frameworks, AWS/GCP/Azure, MCP, HRIS/ATS/ERP systems
Responsibilities
Develop and deploy AI solutions using LLMs and automation frameworks; Integrate AI into existing business and engineering systems; Build and maintain AI agents and workflows; Support model evaluation and cost visibility dashboards; Provision and maintain agent infrastructure; Design and deliver company-wide AI training programs
Seniority
Mid-level, hands-on IC
