Backend Engineering Lead - Bay Area at Ema

San Francisco, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Enterprise SoftwareIndustries

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

Skills

Python

FastAPI

PostgreSQL

Redshift

REST

GraphQL

React

Angular

JavaScript

HTML

CSS

Ema

Develops enterprise AI solutions for workforce efficiency

About Ema

Ema develops and implements AI solutions specifically designed for businesses. Their main product is AI employees that can be customized through conversation to learn and perform tasks that exceed human capabilities, allowing companies to quickly expand their workforce. Ema's AI solutions focus on replacing 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 distinguishes itself from competitors by providing tailored solutions that empower businesses to enhance their operational efficiency. The company's goal is to help enterprises take control of their operations and achieve significant improvements in productivity through advanced AI technology.

Mountain View, CaliforniaHeadquarters

2023Year Founded

$59.3MTotal Funding

SERIES_ACompany Stage

Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Benefits

Hybrid Work Options

Risks

Emerging competition from startups like SilkFlo and Kognitos threatens Ema's market share.

Rapid customer base expansion may strain Ema's operational capabilities and service quality.

Reliance on multiple investors may lead to conflicting interests and strategic directions.

Differentiation

EmaFusionTM integrates over 100 LLMs for high accuracy and cost-effectiveness.

Ema offers secure AI employees adhering to SOC2, ISO27001, GDPR, HIPAA, and NIST standards.

Ema's no-code AI agents enable enterprises to deploy AI without extensive technical expertise.

Upsides

Ema's customer base has more than doubled since its launch in March 2024.

Ema secured $50M in Series A funding, enhancing its market position and capabilities.

Growing demand for AI-driven automation aligns with Ema's focus on AI employees.

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