Generative AI Pipeline Engineer (Tech Lead)

Workman Labs; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Workman Labs in London is seeking a Generative AI Pipeline Engineer (Tech Lead) to architect an AI Media Production platform, bridging creative teams and software infrastructure.

You’ll own modular pipelines, train LoRAs end-to-end, and ship one-click presets for image and video generation, while ensuring quality control.

As the first engineer in this direction, you will shape the technical roadmap and collaborate closely with the Design Director.

Qualifications

• Shipped generative pipelines used by others.
• Production-grade workflows in ComfyUI or code-first environments.
• Strong Python for automation and APIs.
• LoRA training end-to-end.
• Experience deploying pipelines as internal tools.

Responsibilities

• Architect and run the AI Media Production platform with GPU environments and one-click UIs.
• Ship modular, versioned pipelines (node-based or code-first).
• Develop one-click presets and use cases for image and video generation.
• Train LoRAs end-to-end from data curation to evaluation.
• Build control-first generation into pipelines: ControlNet, IP-Adapter, inpainting, reference conditioning.
• Engineer QC into pipelines: automated checks against product references.
• Encode best assets into reusable presets and styles.
• Own the technical roadmap with the Design Director; evaluate new models and tools.

Skills

Python

LoRA training

ComfyUI

Diffusers

API integrations

3D workflows

LLM orchestration

VLM QC

Tools

Blender workflows

Job description

Generative AI Pipeline Engineer (Tech Lead)

CapsLock is hiring the tech lead who will architect its AI Media Production platform — generating 1:1-accurate visuals of real client products with no artifacts or hallucinations. A greenfield build: the first engineer in this direction, working directly with the Design Director as the interface between creative teams and software infrastructure.

Location

London, United Kingdom

Remote

Seniority

Lead

Compared with 43 other Engineering roles: Common across similar roles Unique to this role

What you’ll do

• Architect and run the AI Media Production platform: serving ComfyUI or similar engines, GPU environments, and one-click UIs for non-technical teams
• Ship modular, versioned, reproducible generative pipelines — node-based and/or code-first (e.g. diffusers)
• Develop one-click presets and use cases for image and video generation
• Train LoRAs end-to-end: from real product photography to evaluated, production-ready models
• Build control-first generation into every pipeline: ControlNet, IP-Adapter, inpainting, reference conditioning
• Engineer QC into the pipeline itself: automated checks against product references before human review
• Encode what makes best-performing assets work into reusable presets and styles Unique
• Own the technical roadmap with the Design Director; qualify new models and tools

What you’ll need

Experience

• Shipped generative pipelines adopted and used daily by other people Unique
• Production-grade workflows in ComfyUI or similar, or equivalent code-first experience (diffusers)
• Strong Python: automation, API integrations, custom nodes
• LoRA training end-to-end, from dataset curation to evaluation
• Experience deploying pipelines as internal tools; visual literacy to set the quality bar
• Nice to have: 3D/render-hybrid workflows (Blender/CAD ground truth), LLM orchestration and VLM-based QC, performance-marketing visuals