An early-stage San Francisco startup enabling websites to autonomously optimize via real-time AI.

AI Platform Engineer

San FranciscoOn-site$200K - $300K5+ years
You are the engineer who sees infrastructure as a dynamic product rather than a static utility, thriving where autonomous systems demand absolute reliability. Your days will focus on architecting the Kubernetes backbone that allows marketing platforms to self-optimize based on live user behavior without human intervention. We need someone who can bridge the gap between heavy ML workloads and production-grade SRE practices to scale our self-improving engine.

What they're looking for

  • 5+ years building production infrastructure on AWS, GCP, or Azure with deep Kubernetes expertise.
  • Proven track record deploying and scaling machine learning models in high-traffic B2B environments.
  • Mastery of CI/CD pipelines, Docker containerization, and edge computing strategies via tools like Cloudflare.
  • Experience designing resilient systems that handle real-time data feedback loops for autonomous optimization.

Tech stack

KubernetesAWSGCPCloudflareCICDDockerAzure

Apply for this role

This role is one we're recruiting for on behalf of a client company; the client's identity is kept confidential at this stage. A Fluency recruiter will follow up with details.