Remote Senior AI Backend Engineer - Scalable ML Systems

Arizeai; United States; On-site; USD 125,000 - 225,000; Full time

Benefits offered by this job

Unlimited paid time off

401(k) plan

Comprehensive healthcare benefits

WFH monthly stipend for co-working spaces

Job summary

Arizeai is looking for a Backend Engineer to join their team in the United States. You will be responsible for building high-performance, scalable backend systems using Go, Python, and Java. This role involves designing APIs for Machine Learning workloads and contributes to innovative AI solutions powering Arize's observability platform.

Benefits include a competitive salary range of $125,000 - $225,000, equity options, and comprehensive healthcare. Employees have the option to work remotely or in-person at the New York City and San Francisco offices.

Qualifications

• 5+ years of experience working with high-performance backend systems.
• Strong experience writing Go, Python, TypeScript/Node, Java, or similar server programming languages.
• Previous work building and operating highly complex SaaS platforms/systems.

Responsibilities

• Write maintainable, scalable, and performant backend code primarily in Go, Java, and Python.
• Build high-volume and highly available analytics systems.
• Design and build APIs specific to our customers’ Machine Learning and LLM workflows.
• Develop and integrate collection tools for robust monitoring of ML and LLM pipelines.

Skills

Backend systems

Go programming

Python programming

Java programming

TypeScript

Tools

AWS

GCP

Azure

Kubernetes

Job description

Arizeai is looking for a Backend Engineer to join their team in the United States. You will be responsible for building high-performance, scalable backend systems using Go, Python, and Java. This role involves designing APIs for Machine Learning workloads and contributes to innovative AI solutions powering Arize's observability platform.

Benefits include a competitive salary range of $125,000 - $225,000, equity options, and comprehensive healthcare. Employees have the option to work remotely or in-person at the New York City and San Francisco offices.