Ema
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About
Ema is a Universal AI Employee platform designed to boost productivity across all enterprise roles. It utilizes a sophisticated Agentic AI and a Generative Workflow Engine™ to create and manage AI employees for various tasks. Ema's EmaFusion™ model intelligently blends public and private models for enhanced accuracy and cost-effectiveness. The platform offers pre-built agents and integrates with numerous applications. Ema focuses on data governance and security, redacting sensitive information before using public LLMs and employing top-tier encryption.
Platform
Task
Features
• document generation
• generative workflow engine™
• custom agents
• agentic business automation
• document analysis and insights
• knowledge insights
• emafusion™ model
• ai employee builder
Job Opportunities
AI Applications Engineer
Ema is a Universal AI Employee platform powered by Agentic AI, designed to automate complex workflows and boost enterprise productivity. It offers pre-built agents, integrates with various apps, and prioritizes data security.
Education Requirements:
Bachelor's degree in Computer Science
Experience Requirements:
Experience in working with different data structures and data engineering
Experience in analysing customer requirements and providing demos
Ability to work with APIs and use Python to perform data transformation
Ability to work effectively in a team
Knowledge of AI technology and enterprise SaaS applications is a plus
Responsibilities:
analyzing customer requirements
building new AI application POCs / pilots for customers
integrating with customers' data and applications
leading deployment of Gen AI Applications for very large enterprise customers
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Front End Engineer - Agentic AI Experiences
Ema is a Universal AI Employee platform powered by Agentic AI, designed to automate complex workflows and boost enterprise productivity. It offers pre-built agents, integrates with various apps, and prioritizes data security.
Education Requirements:
Bachelor's degree in Computer Science, Web Development, or a related field
Experience Requirements:
A minimum of 5 years of professional experience in UI engineering, with a focus on API integration, data visualization, and web app development
Other Requirements:
Experience working with global teams
Responsibilities:
Designing, developing, and implementing user interfaces for web applications
Collaborating with product managers, UX designers, and other stakeholders
Developing and maintaining API integrations
Building, testing, and deploying web applications
Troubleshooting and resolving UI-related issues
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Platform Engineer
Ema is a Universal AI Employee platform powered by Agentic AI, designed to automate complex workflows and boost enterprise productivity. It offers pre-built agents, integrates with various apps, and prioritizes data security.
Education Requirements:
Bachelor’s degree in Computer Science or a related field
Experience Requirements:
2-8 years of experience in Platform or Infrastructure Engineering or a related technical role
Responsibilities:
Assisting in designing, implementing, and maintaining scalable, microservices-based architectures
Building and optimizing cloud-based infrastructure and platform components
Designing, enhancing, and testing platform components
Designing and implementing monitoring and observability solutions
Collaborating with senior engineers to improve system reliability, scalability, and performance
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