Staff Software Engineer – AI Workflow & Agentic Platforms - 1620

aKube; Glendale (CA); On-site; USD 68,000 - 104,000; Full time

Job summary

aKube in Glendale, California, is hiring a Staff Software Engineer to work on AI Workflow & Agentic Platforms. The role requires a strong background in backend engineering and experience with AI-powered platforms. Candidates should have experience in building secure APIs and event-driven services.

The position is hybrid, based on-site 4 days a week. A degree in computer science and substantial experience in related technologies are essential.

Qualifications

• 8+ years backend or systems engineering experience.
• 3+ years building AI-powered or workflow-centric platforms.
• Strong production experience with cloud, containers, and IaC.

Responsibilities

• Build API gateways and middleware for AI agents.
• Create secure access patterns for tools and content systems.
• Convert AI prototypes into production microservices.

Skills

Backend or systems engineering

Java, Python, or Node.js

AI-powered platform experience

Docker and Kubernetes

Terraform, CDK, or similar

API design

Education

Bachelor’s or master’s degree in Computer Science or related field

Tools

LangGraph or LangChain

Kafka, EventBridge, SNS/SQS

Job description

Staff Software Engineer – AI Workflow & Agentic Platforms - 1620

Glendale, United States | Posted on 06/08/2026

Onsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility)

Duration: 12 Months

Rate Range: Up to $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
• 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