Staff Software Engineer – AI Workflow & Agentic Platforms - 1620
Summary
Build and maintain AI agent workflows and middleware using LangGraph/LangChain, converting prototypes into production microservices on AWS with Kubernetes and Kafka.
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