Full-Time

Backend Engineer

SF Bay Area

Confirmed live in the last 24 hours

Ema

Ema

51-200 employees

Develops enterprise AI solutions for workforce efficiency

Cybersecurity
AI & Machine Learning

Mid

San Francisco, CA, USA

Hybrid role requiring in-office presence three days a week.

Category
Backend Engineering
Software Engineering
Required Skills
Kubernetes
Microsoft Azure
Redshift
Python
JavaScript
React.js
Data Structures & Algorithms
Postgres
GraphQL
Docker
AWS
Go
Redis
FastAPI
AngularJS
HTML/CSS
Google Cloud Platform
Requirements
  • 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.
Responsibilities
  • Develop and maintain enterprise software applications, including API, data, application, and service development.
  • Write clean, efficient, and maintainable code by employing test-driven development process.
  • Build scalable and reliable back-end systems using languages like Go and Python.
  • Develop and maintain APIs using REST or GraphQL.
  • Integrate multiple enterprise applications and services using a scalable framework like FastAPI.
  • Build and maintain data schema using PostgreSQL, Redshift 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.

Ema develops and implements AI solutions specifically designed for businesses. Their main product is AI employees, which can be customized through conversation to learn and perform tasks that exceed human capabilities, effectively increasing the workforce quickly. Ema's AI solutions replace traditional co-pilots with secure and compliant AI employees, meeting strict standards like SOC2, ISO27001, GDPR, HIPAA, and NIST. The EmaFusionTM model combines the strengths of over 100 large language models to deliver high accuracy at a low cost for various enterprise applications. Ema differentiates itself from competitors by focusing on compliance and security while providing tools that empower businesses to enhance their operational efficiency. The company's goal is to help enterprises gain control over their operations and achieve significant improvements in productivity through long-term partnerships.

Company Stage

Series A

Total Funding

$59.3M

Headquarters

Mountain View, California

Founded

2023

Growth & Insights
Headcount

6 month growth

60%

1 year growth

1666%

2 year growth

1666%
Simplify Jobs

Simplify's Take

What believers are saying

  • Securing $25 million in funding provides Ema with substantial resources to accelerate product development and market penetration.
  • The backing from prominent investors like Accel and Prosus Ventures enhances Ema's visibility and credibility in the competitive AI landscape.

What critics are saying

  • The enterprise AI market is highly competitive, with numerous well-funded players vying for market share.
  • Dependence on continuous innovation and high R&D expenditure could strain financial resources if market adoption is slower than anticipated.

What makes Ema unique

  • Ema focuses on enterprise-specific generative AI solutions, setting it apart from more generalized AI providers.
  • The company has attracted a diverse group of high-profile investors, including Accel, Section 32, and Prosus Ventures, which underscores its credibility and potential.

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