City: Glendale, CAOnsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility)Duration: 12 MonthsRate Range: Upto $100/hr on W2Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1BMust Have:8+ years backend or systems engineeringJava, Python, or Node.jsAI-powered or workflow-centric platform experienceLangGraph, LangChain, or similar agentic frameworkMCP or AI middleware experienceAWS cloud experienceDocker and KubernetesTerraform, CDK, or similar IaCKafka, EventBridge, SNS/SQSAPI design, observability, testing, and CI/CDResponsibilities:Build API gateways, wrappers, and middleware for AI agents.Create secure access patterns for tools, metadata, and content systems.Build agentic workflows for mastering, localization, and delivery.Implement tracing, audit logging, governance, approvals, and fallback paths.Convert AI prototypes into production microservices.Build event-driven services and reliable APIs.Lead design reviews and mentor engineers.Qualifications:Bachelor’s or master’s degree in Computer Science or related field.8+ years of backend or systems engineering experience.3+ years building AI-powered or workflow-centric platforms.Strong production experience with cloud, containers, and IaC.Experience leading technical delivery across engineering, ML, and product teams.Nice to Have:OpenAI or Anthropic API experienceMedia supply chain, localization, or post-production workflowsMulti-tenant platform servicesGenAI infrastructure toolingAgile and DevOps automation at scaleCity: Glendale, CAOnsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility)Duration: 12 MonthsRate Range: Upto $100/hr on W2Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1BMust Have:8+ years backend or systems engineeringJava, Python, or Node.jsAI-powered or workflow-centric platform experienceLangGraph, LangChain, or similar agentic frameworkMCP or AI middleware experienceAWS cloud experienceDocker and KubernetesTerraform, CDK, or similar IaCKafka, EventBridge, SNS/SQSAPI design, observability, testing, and CI/CDResponsibilities:Build API gateways, wrappers, and middleware for AI agents.Create secure access patterns for tools, metadata, and content systems.Build agentic workflows for mastering, localization, and delivery.Implement tracing, audit logging, governance, approvals, and fallback paths.Convert AI prototypes into production microservices.Build event-driven services and reliable APIs.Lead design reviews and mentor engineers.Qualifications:Bachelor’s or master’s degree in Computer Science or related field.8+ years of backend or systems engineering experience.3+ years building AI-powered or workflow-centric platforms.Strong production experience with cloud, containers, and IaC.Experience leading technical delivery across engineering, ML, and product teams.Nice to Have:OpenAI or Anthropic API experienceMedia supply chain, localization, or post-production workflowsMulti-tenant platform servicesGenAI infrastructure toolingAgile and DevOps automation at scaleCity: Glendale, CACity:Glendale, CAOnsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility)Onsite/ Hybrid/ Remote:Duration: 12 MonthsDuration: 1212Rate Range: Upto $100/hr on W2Rate Range:Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1BWork Authorization:

Must Have:

Must Have:

• 8+ years backend or systems engineering
• Java, Python, or Node.js
• AI-powered or workflow-centric platform experience
• LangGraph, LangChain, or similar agentic framework
• MCP or AI middleware experience
• AWS cloud experience
• Docker and Kubernetes
• Terraform, CDK, or similar IaC
• Kafka, EventBridge, SNS/SQS
• API design, observability, testing, and CI/CD

Responsibilities:

Responsibilities:

• Build API gateways, wrappers, and middleware for AI agents.
• Create secure access patterns for tools, metadata, and content systems.
• Build agentic workflows for mastering, localization, and delivery.
• Implement tracing, audit logging, governance, approvals, and fallback paths.
• Convert AI prototypes into production microservices.
• Build event-driven services and reliable APIs.
• Lead design reviews and mentor engineers.

Qualifications:

Qualifications:

• Bachelor’s or master’s degree in Computer Science or related field.
• 8+ years of backend or systems engineering experience.
• 3+ years building AI-powered or workflow-centric platforms.
• Strong production experience with cloud, containers, and IaC.
• Experience leading technical delivery across engineering, ML, and product teams.

Nice to Have:

Nice to Have:

• OpenAI or Anthropic API experience
• Media supply chain, localization, or post-production workflows
• Multi-tenant platform services
• GenAI infrastructure tooling
• Agile and DevOps automation at scale

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