Job Description

Job Description

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.

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