Principal Engineer, AI
Skills
Computer ScienceAdoptionArtifactsContinuous ImprovementCreative IndustriesDriftEmerging Technologies
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor’s degree in Computer Science Engineering or related technical field
- 10+ years building production systems with 2+ years building AI ML systems for real workflows
- Hands-on experience deploying enterprise software in AI data or integration environments
- Expertise with containerization orchestration Python TypeScript React and AI frameworks such as LangGraph Spring AI and MCP
- Deep understanding of LLM model integration and tuning
- Experience designing automation that reduces manual work in complex multi-stakeholder environments
- Proven ability to influence senior engineers without authority
- History of building durable artifacts such as frameworks templates or training
- Excellent communication skills across artists production management and engineers
- Genuine passion for animation storytelling or creative production
Nice to have
- Collaborative
- Growth-minded
- Adventurous
- Transparent
- Trustworthy
- Hands-on leader
Day to day
- Lead the design and delivery of AI-powered agentic workflows across studio pipelines and platforms
- Collaborate with product owners engineers creatives and production teams to automate repetitive high-friction tasks
- Build reliable production-ready tools and reference implementations that improve artist productivity and operational stability
- Integrate AI solutions with DCC tools monitor model drift and latency and create documentation training and metrics for adoption
Hiring process
- Ongoing applications
- In-person interview may be required