Responsibilities
- Design and maintain scalable backend services that support AI-powered applications with high performance.
- Create APIs and microservices to connect cloud-hosted AI models with edge devices efficiently.
- Improve data pipelines and storage systems to support real-time AI inference and data handling.
- Apply security and privacy standards across distributed AI platforms.
- Collaborate with AI researchers, infrastructure teams, and frontend developers to deliver complete AI solutions.
- Develop and refine an agent orchestration engine that supports tool integration, memory handling, and multi-step reasoning across LLMs and connected systems.
- Implement comprehensive logging, monitoring, and alerting systems to ensure high system availability and reliability.
Work Arrangement
Hybrid
Other
- This employer provides equal employment opportunities without discrimination based on race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, veteran status, marital status, familial status, medical condition, genetic information, uniformed service status, political affiliation, or other protected characteristics under applicable laws.
- Voluntary EEO information submissions are held in strict confidence.
- Candidates may access details about the organization’s EEO policy and related rights through provided online resources.
