Backend Engineer, Ema

$135-200k

React

AWS

Docker

Kubernetes

CSS

GCP

HTML

JavaScript

Python

Redis

Azure

REST API

Angular 14+

Mid and Senior level

San Francisco Bay Area

Universal AI employee

Be an early applicant

Universal AI employee

21-100 employees

B2BArtificial IntelligenceEnterpriseSaaSAutomationNo-Code

Be an early applicant

$135-200k

React

AWS

Docker

Kubernetes

CSS

GCP

HTML

JavaScript

Python

Redis

Azure

REST API

Angular 14+

Mid and Senior level

San Francisco Bay Area

21-100 employees

B2BArtificial IntelligenceEnterpriseSaaSAutomationNo-Code

Company mission

To build the next-generation AI technology to empower every employee in the enterprise to be their most creative and productive.

Job

Company

Role

Who you are

You are passionate about designing and developing maintainable software applications.
You are a creative problem solver who thrives in ambiguity and can make abstract problems concrete.
Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact
Bachelor's degree in Computer Science or related field
At least 4 years of relevant work experience
Solid background in algorithms, data structures, and object-oriented programming
Experience in back-end development using languages like Python and Go
Knowledge of database technologies like PostgreSQL, Elastic, Redis
Knowledge of designing and building API platforms and integration systems
Experience with cloud technologies like GCP, AWS and Azure
Experience with containerization technologies like Docker and Kubernetes
Experience with integrating multiple enterprise applications, including frameworks and authentication
Understanding of security best practices and protocols for enterprise software applications
Experience deploying software in multi-tenant SaaS environments
Knowledge of front-end technologies such as HTML, CSS, JavaScript, and front-end frameworks like React or Angular
Strong problem-solving skills and attention to detail
Ability to work independently and as part of a team
Experience working with global teams

What the job involves

Develop and maintain enterprise software applications, including API, data, application, and service development
Write clean, efficient, and maintainable code by employing a test-driven development process
Build scalable and reliable back-end systems using languages like Go and Python
Develop and maintain APIs using REST and gRPC
Build and maintain scalable and extensible data schemas using PostgreSQL, Clickhouse, etc
Contribute to front-end interfaces using HTML, CSS, and JavaScript frameworks such as React or Angular
Ensure that applications are secure and adhere to industry best practices
Continuously improve software development processes and practices

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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