AI Application Engineer, Ema
Universal AI employee
Be an early applicant
Universal AI employee
21-100 employees
Be an early applicant
21-100 employees
Company mission
To build the next-generation AI technology to empower every employee in the enterprise to be their most creative and productive.
Role
Who you are
- Bachelor's degree in Computer Science, Information Technology, or a related field
- 3+ years experience as an AI/ ML Engineer or similar roles
- Solid foundational understanding of traditional ML & Generative AI concepts
- Practical experience in GenAI application development, Prompt Engineering & running detailed evaluations
- Strong analytical skills - to understand deep patterns in client data, troubleshoot model performance issues & suggest innovative solutions to improve outcomes
- Strong understanding of enterprise SaaS solutions and cloud technologies
- Strong understanding of API frameworks and various Integration protocols
- Ability to work with different data structures and handle basic transformations in order to automate certain components of the application
- Experience with solution design, cloud based solution architecture, and integrations
- Proficient with relevant programming languages and technologies
- Prior customer facing experience is a plus
- Strong collaboration skills, with the ability to work effectively both independently and as part of a global team
- Ability to Document and understand complex processes spanning multiple functions is highly desirable
What the job involves
- As an AI Application Engineer you will be working on cutting-end GenAI challenges for Fortune 500 companies and building out Agentic AI applications for Customers
- You will be responsible for analyzing customer requirements, building new AI applications for customers, integrating with customers' data and applications and lead deployment of Gen AI Applications for very large enterprise customers
- Build and customize Agentic AI applications for Fortune 500 companies
- Align GenAI solutions with customer needs and business goals
- Lead deployment of GenAI applications at enterprise scale
- Analyze customer data structures and integrate with existing systems
- Implement APIs and integration protocols for seamless connectivity
- Evaluate and improve AI model performance
- Identify patterns in data to troubleshoot and recommend enhancements
- Collaborate with internal teams across engineering, product, and customer success
- Engage directly with enterprise customers to understand needs and provide technical guidance
Our take
Ema is looking to empower enterprises with universal AI employees. Essentially, these are AI agents built to support the work of other employees by taking on the most repetitive tasks - leaving real people to be more creative and productive.
As the use of automation explodes, businesses need ways to be more efficient and innovative in order to remain competitive. Ema supports this on both ends by taking away the work that can bog down employees and speeding up this work in the process.
Having raised substantial funds, the company is looking to further develop its proprietary tech that powers the AI employees. Ultimately, the agents will be configurable by enterprises so clients can fine-tune them to their needs, and employ them in any role in their organization.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Jul 2024
$36m
SERIES A
Mar 2024
$25m
SEED
Total funding: $61m
Company HQ
SoMa, San Francisco, CA
Leadership
Surojit Chatterjee
(CEO)Member of the Board of Directors at Meesho. Former Executive in Residence at Andreessen Horowitz, CPO at Coinbase, Board Member at Olive and VP at Google.
Souvik Sen
(Head of Engineering)Was VP of Engineering at Okta and Engineering Lead (Data and ML, Privacy and Safety) at Google. They also worked as a Principal Research Scientist at Hewlett-Packard Laboratories.
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