TL;DR

Platform Engineer (AI): Designing, securing, and scaling the infrastructure for AI model deployment and inference with an accent on distributed systems, GPU orchestration, and secure deployments. Focus on building production-grade systems, defining infrastructure as code, and ensuring reliability for large language models and multi-modal AI agents.

Location: Onsite in London, UK. Visa sponsorship and relocation covered.

Salary: $125,000–$225,000

Company

%hirify_global% is building systems to accelerate progress in physical world industries like aerospace, healthcare, and energy by enabling the rapid adoption of AI.

What you will do

Own the backbone of %hirify_global%’s infrastructure.
Design, secure, and scale systems for AI model deployment and inference.
Build and scale distributed systems on AWS (EC2, ECS, EKS, S3, IAM, CloudWatch).
Define and manage infrastructure via Pulumi or Terraform for reproducibility and rapid iteration.
Design and maintain pipelines for deploying, versioning, and scaling inference workloads (LLMs, multimodal models, agents).
Ship production-grade systems with high ownership from day one.

Requirements

2+ years of experience in platform, infra, or backend engineering.
Strong experience with cloud infrastructure, specifically AWS.
Proficiency with Infrastructure as Code (Pulumi preferred, or Terraform).
Understanding of model inference, GPU orchestration, and secure deployments.
Ability to implement robust IAM policies and secrets management.
Ability to work 6 days a week, onsite in London, UK.
Eligibility for UK visa sponsorship.

Nice to have

Experience with Python.
Experience with TypeScript.
Experience with FastAPI.

Culture & Benefits

Work with a tight-knit team driven by purpose.
Pace and purpose-driven work ethic.
Top-of-market base salary and meaningful equity.
Covered relocation, visas, and team meals.
Collaborative and supportive team environment.