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
AI/ML operations, cloud infrastructure, enterprise system integration
Required skills
LLM development and deployment, API integration, cloud infrastructure operations, AI model evaluation and benchmarking, cost visibility and optimization, system architecture, training material creation, data privacy and security compliance
Preferred skills
MCP standards implementation, agent lifecycle management, cross-functional workflow translation
Technologies
LLMs, automation frameworks, AWS/GCP/Azure, MCP, HRIS/ATS/ERP systems
Responsibilities
Develop and deploy AI solutions integrating with existing business and engineering systems; test and benchmark AI models against accuracy, latency, and cost criteria; build dashboards for AI/LLM spend monitoring and optimization; provision, monitor, and retire AI agents; design and deliver company-wide AI training programs and enablement materials
Seniority
Mid-level, hands-on IC
