About Us
Our company is an innovative S/W startup specializing in Multi Cloud management based on AI Agent technology. With the advancement of cloud technology, various cloud environments have emerged, creating a need for solutions that manage and integrate across multiple cloud platforms.
Our Vision
We utilize cutting-edge artificial intelligence (AI) technology to automate and optimize Multi Cloud environments, empowering customers to efficiently manage cloud resources. Our vision is to shape the future of cloud management and contribute to transforming industries.
Our Products and Services
- AI Agent-based Multi Cloud management platform
Our Values
- Innovation: We continuously innovate to provide value to our customers.
- Quality: We maintain the highest standards of quality and strive for customer satisfaction.
- Trust: We endeavor to instill trust and confidence in our customers through our sincere efforts.
Our Team
Our team consists of passionate and experienced professionals. We combine expertise from diverse fields with dedication to deliver the best services to our customers.
Get in Touch
If you’re interested in our services, feel free to reach out to us anytime. We always welcome your questions and feedback.
Join the AuroraStack Team
Senior AI Engineer - Core Team
A Senior AI Engineer on a Core Team is an instrumental figure in driving the development and deployment of Artificial Intelligence (AI) technologies within an organization. This role sits at the intersection of engineering and cutting-edge AI, and you’ll be responsible for:
- Leading technical projects: You’ll take point on designing and implementing AI models and systems. This involves translating business needs into technical solutions, and ensuring these solutions are scalable, maintainable, and meet performance benchmarks.
- Expertise in AI: You’ll be a deep well of knowledge in AI concepts, including machine learning, deep learning, and natural language processing (NLP). You’ll be expected to stay up-to-date on the latest advancements in the field.
- Collaboration: Working effectively with a team is key. You’ll collaborate with data scientists, software engineers, and other stakeholders to define project scopes, requirements, and ensure seamless integration of AI solutions into existing systems.
- Mentorship: If leading a team, you may provide technical guidance and support to junior engineers, fostering a culture of continuous learning.