Staff Software Engineer – AI Workflow & Agentic Platforms - 1620

aKube

  • Glendale, California
  • 30+ days ago

    Highlights

    Media supply chain, localization, or post-production workflows. Build agentic workflows for mastering, localization, and delivery.

    Numbers & Facts

    LocationGlendale, California
    Websiteakubeinc.com

    Description

    City: Glendale, CA
    Onsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility)
    Duration: 12 Months
    Rate Range: Upto $100/hr on W2
    Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B

    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:

    • 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 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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