- Agent Architectures & Smart Systems

Design and develop intelligent agents using frameworks like LangChain, LangGraph, and

similar.

Integrate tools via Model-Context-Protocol (MCP)—bonus if you’ve worked with DCC tools such

as Blender, Maya, or Unreal.

Tackle advanced agent topics: context engineering, memory, planning, and model routing

strategy.

Collaborate with game and art teams to connect AI agents with production pipelines.

- Generative 2D/3D Content

Build, customize, and maintain Gen2D/Gen3D/video generation workflows (ComfyUI or similar).

Train and deploy generative models (e.g., Stable Diffusion, Qwen).

Integrate generative workflows with DCC and creative tools.

- Delivering Production-Quality Systems

A core part of your role will be taking ideas, prototypes, or research code and turning them into

reliable, maintainable, and production-ready systems.

Write clean, well-documented code that follows best practices.

Work with other engineers and artists to continuously strengthen our deployed ML solutions.

- Preferred Tech Stack/Tools

(Not required, but helpful if you have experience with any of the following)

AWS, SQL (especially for retrieval-augmented generation/RAG), FastAPI, ComfyUI, GitLab.

Knowledge of game development, art creation, or digital content production pipelines.

- What Will Help You Stand Out

Experience building agent architectures and/or generative workflows and bringing them to

production is strongly preferred.

Familiarity with tool integration protocols (like MCP) and DCC environments (Blender, Maya, Unreal,

etc.).

Interest or experience in gaming, art creation, or creative tech pipelines.

Strong problem-solving skills, collaborative approach, and eagerness to learn new technologies