C
Full Stack AI Engineer
Create Music Group
5d ago
0DevRemote, USjobspy_indeed
remoteindeed
Job Description
Established in 2015, Create Music Group is a leading music and entertainment company. The company operates as a record label, distribution company, and entertainment network which generates over 15 billion music streams each month on DSP’s. Named \#2 on the Inc 5000 Fastest Growth Companies in America in 2020, the company has grown exponentially by leveraging its owned IP with its media and technology platform. The company works with superstar artists, major and independent record labels, and global media brands. It operates a number of companies including Label Engine, one of the largest independent music distribution platforms in the world, with over 75,000 artists and 5,000 label clients; and Flighthouse, a digital entertainment brand focused on Gen Z, which has more than 300 million followers across social media. Create Music Group is based in Hollywood, CA and has 400 employees worldwide.
**Job Summary**
We are building CreateOS — a next\-generation operating system for modern record labels — and AI is at the center of it. As a Full Stack AI Engineer, you will own the end\-to\-end design and delivery of AI\-powered features that make CreateOS intelligent. This means building the agentic workflows, APIs, and interfaces through which users interact with AI copilots, predictive tools, and automated pipelines — from first concept to production deployment.
This is a high\-ownership role for someone who thinks in full systems. You won't hand work off at the API boundary — you'll own the experience from the data layer to the UI. You will work directly with the VP of AI \& ML Engineering and sit at the intersection of product, engineering, and applied AI. Your immediate impact will be on three of CMG's highest\-priority AI initiatives: M\&A catalog valuation tooling, AI\-driven A\&R discovery surfaces, and marketing automation agents — each directly tied to revenue growth and competitive differentiation.
You'll work in close collaboration with the ML Engineer, who owns the intelligence layer (models, features, evaluation). You own the application and orchestration layer that brings that intelligence to users.
**Responsibilities**
**Agentic AI \& LLM Systems (*****Primary Ownership*****)**
* Design, build, and maintain modular AI agents that automate multi\-step workflows across CreateOS (contracts, accounting, distribution, metadata)
* Own RAG pipelines, retrieval architectures, and semantic search systems grounded in CreateOS's structured business data (contracts, royalty statements, catalog metadata, etc.)
* Implement guardrails, evaluation frameworks, and human\-in\-the\-loop controls for agentic systems
* Integrate LLMs (OpenAI, Anthropic, or open\-source models) into user\-facing features across CreateOS modules
**Full Stack Development**
* Design, build, and maintain scalable, production\-grade applications across the frontend and backend
* Build intuitive, AI\-native user experiences including chat interfaces, copilot\-sty
