Createmusicgroup
Staff AI Engineer
Los Angeles, CA · Staff+
Sponsorship not specified$190k-$210kDetected 21 days ago
PythonReactNext.jsNode.jsFull-Stack DevelopmentCode ReviewSQLPostgreSQLVector DatabasesDockerKubernetesCI/CDRESTMachine LearningAirflowdbtData EngineeringLLMsRAGAgentic AIM&ASignal ProcessingManual TestingResearch
About the role
- This Staff AI Engineer role sits at the intersection of AI systems architecture and full-stack product engineering within CMG's AI & ML Engineering org.
- Unlike a research or prototype role, the bar here is production - systems serving real users at scale, with the observability and reliability expectations of revenue-critical software.
- The right candidate brings 6+ years of software engineering experience, at least 3 of which are hands-on with production agentic AI or LLM systems, along with deep fluency in RAG architectures, eval frameworks, and modern AI-native development practices.
Responsibilities
- Established in 2015, Create Music Group is a leading music and entertainment company.
- Create Music Group is based in Hollywood, CA and has 400 employees worldwide.
- building and scaling the agent platform (orchestration, RAG pipelines, memory, routing, guardrails); shipping production AI features end-to-end from data model to UI; and serving as the primary technical voice with product, M&A, A&R, and Marketing stakeholders.
- Beyond individual contribution, this engineer helps set the architectural patterns and development standards the broader AI team builds against - mentoring the ML Engineer, shaping tooling and primitives, and representing AI Engineering in cross-functional and executive forums.
- It's a high-autonomy seat for someone who's comfortable deciding what to build and why, not just how.
Requirements
- Details Must be able to attend in person in the Hollywood office 2-3 times per week Interviews will be a combination of virtual and in-person at our Hollywood Office.
Compensation
- $190k-$210k
Company info
- The person in this seat is the technical anchor for CreateOS's agentic AI layer - owning the design, deployment, and ongoing reliability of the LLM-powered features and agent infrastructure that run across the platform.
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