Remote Generative AI Pipeline Tech Lead

CapsLock; Warszawa; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Remote Work

Paid vacations

Unlimited Sick Days

Ongoing Learning

Home Office

Medical insurance allowance

Fun stuff

Job summary

CapsLock is building an AI Media Production platform and is hiring a tech lead to architect the system. You will work directly with the Design Director as the bridge between creative teams and software infra, building scalable, reproducible pipelines with real product assets 1:1.

You will lead one-click presets, end-to-end LoRA training, and integrate controls like ControlNet and IP-Adapter, while ensuring QC and a roadmap that aligns with design goals.

Qualifications

• Shipped generative pipelines used daily by others.
• Production-grade workflows in ComfyUI or similar tech or code-first experience (diffusers).
• Strong Python for automation, API integrations, and custom nodes.

Responsibilities

• Architect and run CapsLock's AI Media Production platform: GPU environments, 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: data curation to evaluation for production-ready models.
• Build control-first generation into pipelines: ControlNet, IP-Adapter, inpainting, reference conditioning.
• Engineer QC into the pipeline with automated checks against product references.

Skills

Shipped pipelines

Python

LoRA training

ComfyUI/diffusers

ControlNet/IP-Adapter

Internal tools deployment

Visual literacy

English (B2+)

Tools

ComfyUI

diffusers

Job description

CapsLock is building an AI Media Production platform and is hiring a tech lead to architect the system. You will work directly with the Design Director as the bridge between creative teams and software infra, building scalable, reproducible pipelines with real product assets 1:1.

You will lead one-click presets, end-to-end LoRA training, and integrate controls like ControlNet and IP-Adapter, while ensuring QC and a roadmap that aligns with design goals.