Technical Artist (AI Video Pipeline)

Pixaera; United States; A distancia; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary and stock options

25 days holiday

Fully equipped setup day one

Regular offsites and team socials

Flat, transparent culture

Descripción de la vacante

Pixaera is seeking an AI Video Pipeline Engineer to own and accelerate the studio’s AI image and video pipeline. You’ll turn R&D into a scalable system, balancing open and closed weight tools, and pushing quality with speed.

You’ll collaborate with Ryan and the team, bringing an eye for art and a systems mindset. Expect high output, rigorous collaboration, and a portfolio that proves responsibility for pipelines used by artists.

Formación

• Demonstrated generative AI production pipeline used by a team.
• Experience training models (LoRAs or similar) with datasets and captions.
• Hands-on ComfyUI: build, debug, version graphs and nodes.
• Strong knowledge of Stable Diffusion, ControlNets, IP-Adapters.
• Production view on closed-weight vs open-weight tools.

Conocimientos

AI pipeline background

ComfyUI

Stable Diffusion

ControlNets

LoRAs

Python scripting

Unreal/Unity experience

open/closed weight tools debate

Git repo workflow

Video consistency

Herramientas

ComfyUI

Higgsfield

Kling

Seedance

IP-Adapters

LoRAs tooling

Descripción del empleo

Who are we?

We are a team of driven individuals who strongly believe in the positive impact gaming and AI will have on the learning world. Today, we’re helping enterprise businesses in high-risk industries move to immersive, gamified safety training that far outperforms its traditional counterparts, so every frontline worker goes home safely. If you strive to work in a creative and high-output environment, read on.

Who are we looking for?

An AI Video Pipeline Engineer who is a technical artist first and a pipeline builder second. You have the eye of an artist and the instincts of a systems thinker, and you have probably made the jump from Unreal or Unity into open and closed weight models , ControlNets, higgsfield or similar and ComfyUI. You will build and own the AI image and video pipeline the whole studio uses, turning R&D into a working system that makes our output faster, more consistent and higher quality. You’ll report to Ryan, who leads our AI research, and take what he’s exploring and make it something every artist reaches for by default. We haven’t locked our direction between open-weight and closed-weight tools, and we don’t want to. We want someone with strong, evidence-backed opinions who can debate it with us and help make the call.

Who are you?

• A technical artist with an AI pipeline background: an art eye plus pipeline thinking, not a pure engineer.
• You have built a generative AI production pipeline that other artists actively use in production. A one-off demo or a personal experiment doesn’t count here; we want to see something a team relied on.
• You have trained models (LoRAs or similar) on specific characters and styles, and can talk through your dataset, captioning and training choices and what you’d do differently. You have trained skills in Claude , Chat gpt or similar that you can walk us through.
• Deep, hands-on ComfyUI experience: building, debugging and versioning node graphs, custom nodes, and workflows others can run without you in the room.
• Strong working knowledge of Stable Diffusion and Flux, ControlNets, LoRAs, IP-Adapters, upscaling and inpainting.
• Real production experience with closed-weight video tools such as Higgsfield, Kling and Seedance, and a clear view of where they beat open-weight tools and where they don’t.
• A background in Unreal Engine or Unity is a strong plus. Ideally you’ve made the move from real-time 3D into generative AI.
• Comfortable with Python scripting and a repo-based workflow of branches, pull requests and review.
• A real plus if you’ve worked on video consistency problems (character, motion, temporal coherence) rather than stills alone.

What You Must Be:

• A builder for other people: you measure success by how many artists use what you made, not by how clever it is.
• Tool-agnostic and evidence-led: you’ll argue for open or closed weight based on results, and change your mind when the results change.
• High output and high standards, able to move fast in a space that shifts every few weeks without letting quality slip.
• Direct and collaborative: you give and take clear feedback, and you raise problems early.
• Able to show a portfolio, showreel or pipeline walkthrough that proves the work is yours, including how other artists used it.

The hard parts

The tools you build on this quarter may be obsolete next quarter, so a lot of the job is deciding what not to adopt. And our content is safety-critical: a frame that looks great but shows the wrong PPE or an impossible machine can’t ship, so you’ll be held to accuracy as well as beauty.

Our process

A 30-minute intro call, a technical conversation where you walk us through a pipeline you’ve built, a practical session on a real Pixaera brief, and a final chat with the founders. We aim to complete the whole process within [X] weeks and will always tell you when you’ll next hear from us.

How do we support and benefit our employees:

• Competitive salary and stock options — everyone shares in what we’re building
• 25 days holiday + public holidays
• Fully equipped setup from day one (no waiting for laptops)
• Regular company offsites and team socials
• A flat, transparent culture with direct access to leadership

At Pixaera, we’re committed to building a workplace where everyone feels respected, supported, and empowered to thrive. We believe that diverse perspectives fuel creativity and innovation, which is why we celebrate individuality and foster an environment of inclusion and belonging.

We’re proud to be an equal opportunity employer — discrimination of any kind has no place here. No matter your background, identity, or lived experience, you’re welcome at Pixaera.