Staff Software Engineer - AI Workflow & Agentic Platforms
aKube Inc
Glendale, United States of America
30 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Intermediate Compensation
$ 208KJob location
Glendale, United States of America
Tech stack
Java
API
Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Systems Engineering
Audit Trail
Continuous Integration
Middleware
Python
Metadata
Node.js
Backend
Information Technology
Deployment Automation
Kafka
Api Design
Api Gateway
Amazon Web Services (AWS)
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