Staff Software Engineer – AI Workflow & Agentic Platforms - 1620

aKube • Glendale, CA

1d • $0 - $100 • Hybrid

About The Position

This role involves building and scaling AI-powered platforms and agentic workflows. The engineer will be responsible for developing API gateways, middleware, and production microservices, focusing on secure access, reliable event-driven systems, and robust workflow implementation. The position requires strong backend and systems engineering skills, with an emphasis on AI, cloud technologies, and modern development practices.

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 Haves

• 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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior