What are the responsibilities and job description for the Backend Software Engineer – AI Middleware & Workflow Automation- 1549 position at aKube Inc?
City:Glendale, CA
Onsite/ Hybrid/ Remote: Hybrid(3 days a week)
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:
- Bachelor’s or Master’s 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.
Salary : $93