aKube Inc
aKube Inc

Staff Software Engineer - AI Workflow & Agentic Platforms - 1620

Glendale, CA, US • Posted 2 days ago • Updated 9 hours ago
Full Time
On-site
USD 100.00 per hour
Fitment

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Job Details

Skills

  • Employment Authorization
  • Java
  • Python
  • Node.js
  • LangChain
  • Microsoft Certified Professional
  • Amazon Web Services
  • Docker
  • Kubernetes
  • Terraform
  • Apache Kafka
  • Amazon SQS
  • Testing
  • Continuous Integration
  • Continuous Delivery
  • Middleware
  • Meta-data Management
  • Auditing
  • Prototyping
  • Microservices
  • Design Review
  • Mentorship
  • Computer Science
  • Systems Engineering
  • Artificial Intelligence
  • Cloud Computing
  • Machine Learning (ML)
  • API
  • Media
  • Supply Chain Management
  • Internationalization And Localization
  • Post-production
  • Workflow
  • Generative Artificial Intelligence (AI)
  • Agile
  • DevOps

Summary

Job 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: 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1d3dc7
  • Position Id: 45cdb35f02635610118bb6f2fca59f8f
  • Posted 2 days ago
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