Senior Software Engineer, AI-Enabled Production Tools

What you'll do

• Design and build agentic workflows that coordinate AI models, tools, APIs, and services with state management and failure recovery.
• Develop AI-enabled engineering tools for coding, testing, debugging, codebase analysis, and workflow automation.
• Create DCC integrations, plugins, panels, and desktop applications to support artist and technical artist needs.
• Build and maintain content pipelines for authoring, validation, publishing, versioning, and asset management.
• Design software architecture, APIs, and data contracts to ensure performance and maintainability across production systems.
• Establish automated testing, agent evaluations, tracing, and monitoring to ensure reliable and observable operations.
• Manage packaging, dependencies, and releases across supported applications and production environments.

What we're looking for

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience.
• 8+ years of relevant software engineering experience developing production tools, content pipelines, or comparable workflow systems.
• 2+ years of technical leadership experience, including leading projects, guiding architectural decisions, and mentoring engineers.
• Strong Python skills with experience in software architecture, API design, automated testing, debugging, and maintainable code.
• Experience integrating with DCC applications and supporting content workflows from authoring through validation and delivery.
• Experience building multi-step AI workflows with state management, evaluation, and failure handling.
• Experience developing tools for artists and translating workflow needs into engineering requirements.
• Proficiency in C++, Java, PySide/Qt, Unreal Engine, Unity, or experience with LLM APIs and agent evaluation (preferred).