Click here to join our community of experts to get information on job search, salaries and more.

aKUBE

Backend Software Engineer Ai Middleware & Workflow Automation

Company: AKUBE

Location: Glendale, CA

Posted on: October 28

City:Glendale, CA

Onsite/ Hybrid/ Remote: Hybrid(3 days a week)

Duration: 24 months

Rate Range: Up to$92.5/hr on W2 depending on experience (no C2C or 1099 or sub-contract)

Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B

Must Have:

  • Java, Python, or Node.js backend development
  • AWS (Lambda, EventBridge, SNS/SQS, or similar cloud components)
  • Docker and Kubernetes for container orchestration
  • Terraform or CDK for Infrastructure-as-Code (IaC)
  • Experience with LangGraph, LangChain, or other LLM frameworks
  • Event-driven architecture using Kafka or equivalent
  • Building APIs and microservices at scale

Responsibilities:

  • Design and build AI middleware to connect internal studio systems, APIs, and data sources to intelligent agents.
  • Develop and integrate agentic workflows using frameworks like LangGraph or LangChain for workflow orchestration, human approval, and fallback governance.
  • Productize AI prototypes into production-ready microservices, ensuring scalability, observability, and reliability.
  • Build event-driven systems using Kafka, EventBridge, or similar messaging tools for fault-tolerant communication.
  • Deploy applications and infrastructure via Terraform, CDK, or CI/CD pipelines, optimizing for cloud-native performance.
  • Collaborate closely with ML engineers, platform teams, and product managers to integrate AI capabilities into production environments.
  • Participate in Agile ceremonies including sprint planning, standups, and retrospectives, contributing to continuous improvement.

Qualifications:

  • Bachelors or Masters in Computer Science, Software Engineering, or a related STEM field.
  • 5+ years of backend or systems engineering experience, including at least 1 year building AI-driven or workflow-centric systems.
  • Hands-on experience developing microservices, API gateways, and middleware services in cloud environments.
  • Strong understanding of testing, observability, and CI/CD best practices.
  • Proven ability to design and deliver reliable systems in cloud-native and containerized architectures.
  • Excellent communication and teamwork skills, with experience mentoring or collaborating across engineering and product teams.
  • (Preferred) Familiarity with media or content supply chain workflows, or contributions to GenAI open-source projects.

Apply Now
Apply Now
Similar Jobs