AI Platform Optimization Lead Engineer

Request ID: 112086-1
Title: AI Platform Optimization Lead Engineer
Locations: Onsite: Austin, TX
Duration: 6 months with Possible Extension.
Pay Range: $50-$58/Hour on W2 (All inclusive)

Role Description:

Experience Required: 8–10 Years

Role Description:

• Lead technical initiatives focused on AI platform cost optimization, reliability, consumption architecture, and platform-level performance.
• Manage and optimize LLM gateways, model routing, token metering, rate limits, and quotas.
• Drive platform observability, caching, batching, and model evaluation.
• Manage account/project structures, platform controls, and MLOps/LLMOps capabilities.

Required Skills:

• Artificial Intelligence (AI)
• Enterprise Architecture
• LLM Platform Optimization
• LLM Gateways and Model Routing
• Token Metering, Rate Limits, and Quotas
• Observability, Caching, and Batching
• MLOps / LLMOps

Skill Categories: Artificial Intelligence (AI), Enterprise Architecture

Submission Requirement: All candidate submissions must include the candidate’s LinkedIn profile URL.

Company Benefits & Culture
•    Inclusive and diverse work environment
•    Opportunities for professional growth and development
•    Comprehensive health and wellness benefits