Job Specifications
Job Summary
Our client is seeking a Software Engineer to join their team! This position is located in Glendale, California.
Duties
Build API gateways, wrappers, and middleware services that expose studio systems and data to AI agents
Integrate tools, metadata, and content systems through model context protocol (MCP)
Standardize how agents interface with internal services across the supply chain
Leverage agentic platforms such as LangGraph or LangChain to manage tool execution, context routing, and decision logic
Implement tracing, audit logging, and governance checkpoints including human approval and fallback paths
Integrate orchestration into media workflows such as mastering, localization, and delivery
Translate prototypes into production-ready microservices using Java, TypeScript, or Python, deployed via Kubernetes and managed through CI/CD pipelines
Implement event-driven services using Kafka, EventBridge, or SNS/SQS to support loosely coupled, fault-tolerant communication across services
Build and maintain APIs with clear contracts, emphasizing reliability, observability, and long-term maintainability
Work closely with ML engineers, platform teams, and product managers to deliver business-ready AI capabilities
Translate defined requirements into production-ready code
Participate in sprint planning, standups, and delivery checkpoints
Desired Skills/Experience:
Bachelor's degree in a Computer Science, Software Engineering, or a related field
5+ years of backend or systems engineering experience
1+ years of building AI-powered or workflow-centric platforms
Proficient in Java, Python, or Node.js, with deep understanding of testing, observability, and systems at scale
Production experience with cloud platforms such as AWS, and container orchestration with Docker and Kubernetes
Hands-on experience deploying infrastructure via Terraform, CDK, or similar infrastructure-as-code frameworks
Experience building or integrating workflow engines, ideally in LLM or GenAI contexts
Clear, structured communication skills and a track record of technical leadership in cross-functional teams
Experience with LLM frameworks and APIs such as LangGraph, LangChain, OpenAI, or Anthropic
Background in media, entertainment, or content operations, including localization or post-production workflows
Experience building multi-tenant or shared platform services
Exposure to Agile delivery practices and DevOps automation at scale
Contributions to GenAI open-source projects or internal AI/ML infrastructure tooling
Benefits:
Medical, Dental, & Vision Insurance Plans
Employee-Owned Profit Sharing (ESOP)
401K offered
The approximate pay range for this position is between $59.00 and $85.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
About the Company
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