Enterprise AI Automation Engineer
4 days ago
Skyfall AI is disrupting the entire AI ecosystem by building the first world model for the enterprise. This model aims to overcome the severe limitations of LLMs (Safety, Hallucinations, Expensive training) and provide enterprises with a comprehensive understanding of complex interplay between data, people, and processes.
Our founding team consists of pioneers in the Deep Learning revolution, having worked with renowned experts like Yoshua Bengio and Richard Sutton. This expertise has been honed through Maluuba, which was acquired by Microsoft for $160M and became Microsoft's AI research center in Canada.
Job RequirementsWe're looking for a highly skilled Software Engineer - Infrastructure to join our team. As part of this role, you'll be responsible for designing and developing high-performance, scalable infrastructure for enterprise AI automation. Your key responsibilities will include:
- Architecting and developing the core back-end infrastructure to handle large-scale enterprise data processing.
- Building highly scalable, low-latency, fault-tolerant distributed systems.
- Designing and optimizing database architectures for high availability and performance.
- Ensuring efficient data pipelines for real-time analytics and AI-driven automation.
- Working on microservices architecture, API gateways, and distributed data storage.
- Implementing server-side optimizations, caching strategies, and event-driven processing.
- Developing robust monitoring, logging, and security frameworks for the back-end.
- Collaborating with AI, front-end, and DevOps teams to align infrastructure with AI-powered automation goals.
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