Senior AI Infrastructure/Workflow Engineer (Remote)

Braintrust; United Kingdom; Remote; GBP 65,000 - 90,000; Full time

Job summary

A leading tech company is seeking a Senior AI Infrastructure/Workflow Engineer to architect and optimize systems for AI-powered content creation. You will play a pivotal role in training models, managing cloud infrastructure, and automating workflows. This fully remote position offers a competitive salary and the chance to work on cutting-edge AI technologies in a collaborative environment.

Benefits

Flexible working hours

Competitive pay package

Access to cutting-edge resources

Qualifications

• 5+ years of hands-on experience in Python automation and scripting.
• Deep familiarity with Stable Diffusion training/inference and checkpoint management.
• Expertise in GPU-accelerated cloud infrastructure.

Responsibilities

• Architect, build, and maintain the systems for AI content production.
• Train and fine-tune AI models at scale and develop automation tools.
• Collaborate with teams to align technical roadmap with business goals.

Skills

Python Automation

Stable Diffusion

Cloud Infrastructure

Data Analysis

Concurrency

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

Docker

Job description

Senior AI Infrastructure/Workflow Engineer (Remote)

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Job Description

We're pioneering the next generation of AI-powered content creation technologies. Using advanced image generation pipelines, custom workflows, and proprietary tooling, we generate, curate, and scale hundreds of thousands of images weekly—soon expanding into video. Our mission is to revolutionize digital marketing through AI-powered content generation at scale, delivering personalized engagement across platforms backed by enterprise-grade cloud infrastructure.

Job Description

We're pioneering the next generation of AI-powered content creation technologies. Using advanced image generation pipelines, custom workflows, and proprietary tooling, we generate, curate, and scale hundreds of thousands of images weekly—soon expanding into video. Our mission is to revolutionize digital marketing through AI-powered content generation at scale, delivering personalized engagement across platforms backed by enterprise-grade cloud infrastructure.

Role Overview: As a top engineer, you will architect, build, and maintain the end‑to‑end systems powering our AI content production platform. You’ll design and optimize Stable Diffusion training and inference workflows, develop and manage automation tools (local and cloud), and scale GPU instances to create tens of millions of assets. You’ll balance coding, systems design, and data analysis to push our platform’s performance, reliability, and feature set forward.

Key Responsibilities

• Model & Workflow Development
• Train and fine‑tune Stable Diffusion checkpoints, LoRAs, and custom datasets at scale
• Design and maintain ComfyUI graphs and custom nodes for efficient batch generation
• Prototype new AI-video tooling leveraging image workflows as foundational blocks
• Automation & Tooling
• Author robust Python scripts and services to review, sort, tag, and organize huge quantities of images/day
• Implement multi‑processing, threading, and distributed batch pipelines for speed and reliability
• Build dashboard backends and lightweight frontends to monitor job status, results, and metrics
• Cloud Infrastructure & Architecture
• Help deploy, manage, and optimize GPU cloud instances
• Automate provisioning, scaling, and health‑checks (IaC tools like Terraform, Ansible, or similar)
• Design cost‑effective, high‑throughput data storage and transfer strategies between on‑prem & cloud
• Data Review & Analysis
• Analyze generation outputs, synthesize quality metrics, and recommend iterative improvements
• Build tools for rapid A/B comparisons, anomaly detection, and content selection at scale
• Cross‑Functional Collaboration
• Work closely with creative, product, and leadership teams to align technical roadmap with business goals
• Document processes, share best practices, and mentor junior engineers as the team grows
  

Required Qualifications

• 5+ years of hands‑on experience in Python automation and scripting (large‑scale batch processing)
• Deep familiarity with Stable Diffusion training/inference, LoRA methods, and checkpoint management
• Proven track record building and optimizing custom ComfyUI workflows or similar node‑based systems
• Expertise deploying and managing GPU‑accelerated cloud infrastructure
• Strong understanding of distributed processing, concurrency (multiprocessing, threading, async)
• Solid foundation in Linux server administration and CI/CD pipelines
• Excellent problem‑solving skills, self‑starter attitude, and ability to operate independently
  
  

Preferred Qualifications

• Experience architecting scalable either image or video generation related pipelines
• Familiarity with frontend frameworks for lightweight dashboarding
• Hands‑on with Terraform, Kubernetes, or Docker‑Swarm for container orchestration
• Background in data engineering / ETL processes for large multimedia datasets
• Prior work in AI content moderation, classification, or metadata tagging
• Content Analytics: Experience implementing automated content quality assessment and performance analytics
• Data Pipeline Experience: Background in building robust data pipelines for training, fine-tuning, and continuous model improvement
  
  

What You’ll Get

• Architecting high‑impact projects driving the future of AI influencers
• Fully remote, flexible schedule; collaborate with a lean, passionate team
• Competitive pay package
• Access/budget(s) to any cutting‑edge resources
• Opportunity to shape the roadmap from images to next‑gen AI video creation
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Retail Groceries

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