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, pixasocial.com, 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 ananya.sharma@pixasocial.com.

Pixasocial LLC, 1209 Mountain Road PL NE Ste N, Albuquerque, NM 87110, USA. Equal-opportunity employer.