About the job
About Us:
At Ema, we are revolutionizing the landscape of AI technology to equip every employee within enterprises to unleash their creativity and enhance productivity. Our proprietary platform enables organizations to entrust Ema, the Universal AI employee, with repetitive tasks, thus streamlining operations. Founded by former executives from Google, Coinbase, and Okta, along with seasoned entrepreneurs, we are supported by top-tier investors and angels. Our headquarters are located in Silicon Valley and Bangalore.
About You:
As a Senior AI Applications Engineer, you will play a crucial role in delivering superior post-deployment support for Ema’s Agent Assist/Chatbot product. This position demands a unique combination of technical proficiency and a customer-oriented problem-solving mindset. You will be tasked with configuring, troubleshooting, and optimizing AI solutions for our clients, ensuring exceptional performance, ongoing enhancement of customer workflows, and elevated customer satisfaction. You will independently oversee intricate deployments and solutions for enterprise clients with minimal supervision.
Your Responsibilities:
Configure and integrate AI/GenAI workflows utilizing platform APIs and customer data, ensuring seamless and secure deployment.
Interpret customer needs into technical solutions, validating workflow accuracy and continuously optimizing prompts for peak performance.
Automate tasks using Python & SQL and develop prototypes utilizing open-source Agentic Frameworks to enhance customer experience workflows.
Design, conduct, and analyze A/A experiments to evaluate and enhance workflow quality and reliability.
Oversee AI workflows through key metrics and observability dashboards, promptly addressing issues to guarantee high availability.
Deliver proactive solutions and regular updates to clients, achieving high customer satisfaction through effective troubleshooting and communication.
Diagnose and resolve platform-related issues concerning APIs, data integration, and workflow configurations, collaborating with engineering teams as necessary.
Utilize APIs and integration protocols (JSON, REST, SOAP) for workflow configuration and integration with CRM/ATS tools.
Craft custom scripts for database queries and report generation for comprehensive analysis, showcasing ROI to clients.

