Staff Software Engineer – AI Workflow & Agentic Platforms - 1620

Posted Yesterday
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Glendale, CA, USA
In-Office
100-100 Hourly
Senior level
Information Technology
The Role
Build production AI agent platforms, API gateways, middleware, secure tool and content access patterns, and event-driven microservices. Develop agentic workflows for mastering, localization, and delivery while implementing tracing, audit logging, governance, approvals, and fallback paths. Lead design reviews, mentor engineers, and coordinate technical delivery across engineering, ML, and product teams. Convert AI prototypes into reliable, observable, and scalable cloud services using containers, infrastructure as code, and CI/CD.
Summary Generated by Built In
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


Skills Required

  • 8+ years of backend or systems engineering experience
  • Proficiency in Java, Python, or Node.js
  • Experience with AI-powered or workflow-centric platforms
  • Experience with LangGraph, LangChain, or a similar agentic framework
  • MCP or AI middleware experience
  • AWS cloud experience
  • Experience with Docker and Kubernetes
  • Experience with Terraform, CDK, or similar infrastructure as code
  • Experience with Kafka, EventBridge, or SNS/SQS
  • API design, observability, testing, and CI/CD experience
  • Bachelor's or master's degree in Computer Science or a related field
  • 3+ years building AI-powered or workflow-centric platforms
  • Strong production experience with cloud, containers, and infrastructure as code
  • Experience leading technical delivery across engineering, ML, and product teams
  • OpenAI or Anthropic API experience
  • Media supply chain, localization, or post-production workflow experience
  • Multi-tenant platform services experience
  • Generative AI infrastructure tooling experience
  • Agile and DevOps automation at scale
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The Company
Los Angeles, California
13 Employees

What We Do

Often, the biggest barrier between setting business objectives and achieving them is talent. Finding technically qualified people when you need them is hard enough. Finding technically qualified people who are the best fit for your organization is tougher. You need a staffing partner with the right expertise who can find the right talent in the right time frame, because your project can’t wait. That’s where we come in. aKube Inc is committed to leveraging its corporate values and operating model to achieve the highest level of performance and respect within the industry. We have developed a highly efficient delivery model for supporting a wide array of clients with expertise in supporting high-volume contingent worker programs.

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