aKUBE

Staff Software Engineer – AI Workflow & Agentic Platforms - 1620

aKUBE  •  $100/hr  •  Glendale, AZ (Hybrid)  •  4 days ago
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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:

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
aKUBE

About aKUBE

Discover talent that fits you like a glove

At aKube Inc., we bridge the gap between exceptional professionals and innovative companies.

The trifecta for business success - People, Process & Technology

Industry
Unknown
Company Size
11-50 employees
Headquarters
Los Angeles, us
Year Founded
Unknown
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