Senior Full-Stack AI Research Engineer

Weights & Biases; Sunnyvale (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Company-paid Life Insurance

Voluntary Supplemental Life Insurance

Short-term Disability Insurance

Long-term Disability Insurance

Flexible Spending Account

Health Savings Account

Tuition Reimbursement

Employee Stock Purchase Program (ESPP)

Mental Wellness Benefits

Family-Forming Support

Paid Parental Leave

Childcare Support

401(k) with Employer Match

Flexible PTO

Catered Lunch

Job summary

Weights & Biases in Sunnyvale, CA is seeking a senior full-stack engineer to own features across the ARIA AI research agent stack, from backend infrastructure and API design to the React frontend.

You will build and maintain distributed worker systems and streaming architectures to deliver real-time token output to users, focusing on scalability and security in sandboxed code execution.

Qualifications

• Requires 4+ years of full stack experience with deep proficiency in Python (FastAPI, Kubernetes) and TypeScript/React.
• Candidates should have experience operating services at scale and a security-conscious mindset regarding sandboxed code execution.

Responsibilities

• Own features across the entire stack for the ARIA AI research agent, from backend infrastructure and API design to the React frontend.
• Build and maintain distributed worker systems and streaming architectures to deliver real-time token output to users.

Skills

Python

React

TypeScript

FastAPI

Kubernetes

MySQL

Distributed Systems

API Design

Streaming Architecture

Observability Tooling

Sandboxed Code Execution

Full Stack Engineering

Async Patterns

State Machines

RDBMS

AI Agents

Job description

Weights & Biases in Sunnyvale, CA is seeking a senior full-stack engineer to own features across the ARIA AI research agent stack, from backend infrastructure and API design to the React frontend.

You will build and maintain distributed worker systems and streaming architectures to deliver real-time token output to users, focusing on scalability and security in sandboxed code execution.