AI Platform Engineer (MLOps & Inference)

PixaSocial Ai builds viral social content on proprietary psychology and psychographic models, published across Instagram, X, LinkedIn and 12+ channels.

THE ROLE Build the platform that makes our generation stack fast and cheap

GPU utilisation, batching, latency reduction, cost per asset - the infrastructure behind image, video and voice generation.

WHAT YOU WILL DO - Own inference infrastructure

GPU scheduling and optimisation, batching, caching, model routing, autoscaling. - Drive down cost per generated asset and p95 latency, with numbers to show for it. -

Build the deployment and observability path for new models

rollout, canary, rollback, health and drift signals. -

Make capacity legible

queue depth, saturation, spend, per-workspace usage. - Work with backend and psych-stack engineers on job orchestration from request to stored asset. WHAT WE ARE LOOKING FOR Mid-level platform/MLOps engineer who has run GPU workloads in production and can talk in dollars and milliseconds. Python plus infrastructure tooling; containers and IaC. US-based, remote or hybrid. NICE TO HAVE Diffusion/LLM serving at scale, spot/preemptible capacity, multi-region cost control. HOW TO APPLY There is nothing to sign up for and nothing to pay. Spend a little time on our website, (link removed), then tell us what you make of it - what looks strong, what looks thin, and what you would do differently in this role. Send your resume and those thoughts to . Pixasocial LLC, 1209 Mountain Road PL NE Ste N, Albuquerque, NM 87110, USA. Equal-opportunity employer.