Full-Time

Backend Engineer

Arthur AI

Arthur AI

51-200 employees

Monitors and improves machine learning model performance

AI & Machine Learning

$130,000

Junior, Mid, Senior

Remote

Required Skills
Kubernetes
Microsoft Azure
NoSQL
Software Testing
SQL
Java
Postgres
Docker
AWS
Scala
REST APIs
Requirements
  • 2-5+ years software engineering experience, with an emphasis on building backend services
  • Proficiency in at least one development language, such as Go, Scala, or Java
  • Experience with backend REST-ful frameworks
  • Experience designing & building unit tests, integration tests, end-to-end tests for a microservices architecture
  • Experience integrating with DBs, SQL or NoSql, such as Postgres
  • Experience deploying microservices using Docker, Kubernetes or similar frameworks
  • Computer Science or other technical degree, or equivalent practical experience
Responsibilities
  • Implement scalable REST APIs that are consumed by our customers & our internal team for both front-end interfaces and programmatic consumption
  • Work closely with our data engineering to build data schemas to store & retrieve information necessary for the operation of our APIs, SDKs, and CLIs
  • Exhibit continuous curiosity in understanding emerging technology that improve our ability to deliver
Desired Qualifications
  • Experience working with cloud environments such as AWS, Azure and Google Cloud
  • Experience contributing to open-source software, building SDKs, or CLIs
  • Familiarity with machine learning & AI
  • Familiarity with enterprise integration technologies & protocols such as SAML and LDAP
  • Experience running a 24x7 SaaS platform with an SLA

ArthurAI stands out as a leading AI Performance Company, providing a comprehensive platform that enables enterprise teams to monitor, measure, and improve machine learning models for enhanced accuracy, explainability, and fairness. The company's commitment to "front-end ethics" ensures a balance between strong performance and positive human impact, fostering a sustainable and inclusive work environment. Their platform's ability to centralize model management and offer real-time performance alerts, coupled with customizable permissions, facilitates seamless communication and collaboration across teams and organizations.

Company Stage

Series B

Total Funding

$63.6M

Headquarters

New York, New York

Founded

2018

Growth & Insights
Headcount

6 month growth

-17%

1 year growth

-3%

2 year growth

4%
INACTIVE