Auralis AI
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About
Auralis AI is a conversational AI tool designed to handle a significant portion of customer support, sales, and e-commerce interactions. It aims to reduce costs and improve customer satisfaction by automating responses and providing real-time support. The tool integrates with various platforms, including Zendesk, Freshdesk, Intercom, Hubspot, Shopify, Gorgias, and Salesforce, among others. Auralis boasts advanced features like live chat, helpdesk assistance, quality auditing, and real-time agent coaching. Its AI is customizable and learns from data sources such as knowledge bases, past tickets, and documents. It offers multilingual support and robust analytics.
Platform
Task
Features
• conversational ai
• reduces costs
• improves customer satisfaction
• handles up to 70% of customer requests
• cx coach (customer experience coach)
• quality auditor
• helpdesk assistant
• live chat agent
Pricing Plans
Essentials
USD499.00 / per month• Integrates with any Helpdesk
• Ingest and train AI with your knowledgebase
• Real time coaching for your agents
• Customized Prompt Engineering
• Basic reporting and analytics
• Support via Email
Business
USD4999.00 / per month• Everything in the Essentials plan
• Advanced AI agents can call third-party systems
• Ingest data from complex sources
• Quality audits and advanced reporting
• Priority support via Slack/Teams & Scheduled calls
Enterprise
Unknown Price• MLOps and templating support
• Real-time, advanced dashboard
• 24/7 priority support with a dedicated account manager
• Continuous MLOps
• Custom contracts and SLA
• SSO/SAML
• Enterprise level governance
• On-premise option
Job Opportunities
Senior Full Stack Engineer
Auralis AI is a conversational AI solution for customer support, sales, and e-commerce, aiming to reduce costs and improve customer satisfaction through automation and integration.
Education Requirements:
BS or MS in Computer Science, Engineering, or a related field
Experience Requirements:
3-5 years of experience as a full stack engineer
Other Requirements:
Expertise in React.js
Proficiency in Node.js
Experience with backend frameworks like NestJS or Express.js
Experience with state management libraries such as Redux, Context API, or MobX
Familiarity with GraphQL
Strong knowledge of cloud services (preferably AWS)
Experience with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation
Experience with containerization tools like Docker and orchestration systems like Kubernetes (a plus)
Familiarity with CI/CD practices and tools
Excellent communication skills
Responsibilities:
Design and develop high-quality, responsive user interfaces using React.js
Implement state management solutions
Work on server-side logic and integration with front-end components using Node.js
Build and consume RESTful APIs and work with GraphQL
Collaborate with the team to define and execute the technical roadmap
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Senior Backend Engineer
Auralis AI is a conversational AI solution for customer support, sales, and e-commerce, aiming to reduce costs and improve customer satisfaction through automation and integration.
Education Requirements:
BS or MS in Computer Science, Engineering, or a related field
Experience Requirements:
5-10 years of experience as a Backend engineer
Other Requirements:
Strong proficiency in at least one modern frontend framework
Experience with IaC
Strong proficiency in Python
Experience with AWS
Experience with SQL or NoSQL databases
Experience with Docker and container orchestration systems (e.g. Kubernetes) (a plus)
Strong communication skills
Experience working with Elasticsearch / Opensearch
Responsibilities:
Work closely with the rest of the team to design and implement our backend, frontend, and infrastructure
Collaborate with other engineers and designers to build a user-friendly platform
Help define and execute the technical roadmap for our platform
Inventing, extending, and maintaining development processes, tools, and workflows
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Senior Machine Learning Engineer
Auralis AI is a conversational AI solution for customer support, sales, and e-commerce, aiming to reduce costs and improve customer satisfaction through automation and integration.
Education Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field. Ph.D. preferred
Experience Requirements:
5+ years of industry experience in machine learning engineering or related roles
Other Requirements:
Expertise in machine learning techniques
Proficiency in programming languages such as Python
Strong understanding of cloud computing platforms
Hands-on experience with containerization technologies
Solid understanding of software engineering best practices
Excellent problem-solving skills
Strong communication and collaboration skills
Responsibilities:
Design, develop, and deploy state-of-the-art machine learning algorithms and models
Collaborate with cross-functional teams
Lead end-to-end machine learning projects
Architect scalable and efficient ML pipelines
Optimize model performance and scalability
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