Staff Software Engineer - AI Workflow & Agentic Platforms

aKube Inc
Glendale, CA, United States
2 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$208,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Systems Engineering Audit Trail Continuous Integration Middleware Python (Programming Language) Metadata Node.Js
+10 more
Backend Information Technology Deployment Automation Apache Kafka Api Design Api Gateway Amazon Simple Queue Service (SQS) Terraform Docker Microservices

Job description

  • 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.

Requirements

  • 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, * 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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