Backend Engineer - Bay Area

San Francisco, California, United States

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$135,000 – $200,000Compensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates should have a Bachelor's degree in Computer Science or a related field and at least 4 years of relevant work experience. A solid background in algorithms, data structures, and object-oriented programming is required, along with experience in back-end development using languages like Python and Go. Knowledge of database technologies such as PostgreSQL, Elastic, and Redis is essential, as well as experience with cloud technologies like GCP, AWS, and Azure. Familiarity with containerization technologies like Docker and Kubernetes, and understanding of security best practices for enterprise software applications are also important. Candidates should possess strong problem-solving skills and attention to detail, with the ability to work independently and as part of a team.

Responsibilities

The Backend Engineer will develop and maintain enterprise software applications, including API, data, application, and service development. They will write clean, efficient, and maintainable code using a test-driven development process and build scalable and reliable back-end systems. The role includes developing and maintaining APIs using REST and gRPC, building and maintaining scalable data schemas, and contributing to front-end interfaces using HTML, CSS, and JavaScript frameworks like React or Angular. The engineer will ensure that applications are secure and adhere to industry best practices, while continuously improving software development processes and practices.

Skills

Python

PostgreSQL

Elastic

Redis

GCP

AWS

Azure

Docker

Kubernetes

HTML

CSS

JavaScript

React

Angular

API Design

SaaS

Security Protocols

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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