Senior Software Engineer, W&B Agent - W&B

CoreWeave•Sunnyvale, CA

13h•$182,000 - $242,000

About The Position

CoreWeave is hiring a Senior Full Stack Engineer for the ARIA Agent team at Weights & Biases. ARIA (AI Research and Iterations Agent) enables continuous experimentation at scale. The team is building the research agent from scratch, including distributed backend systems for multi-turn agent conversations and a React interface used by ML practitioners. The goal is to deliver a fast, reliable, and intuitive agent experience that accelerates machine-learning workflows. The engineer will own features and systems across the stack, from backend infrastructure and API design to the React frontend for chat, billing, and agent configuration. The role includes building and maintaining distributed worker systems for agent conversations, designing streaming architecture for real-time token output, and contributing frontend components. The engineer will work closely with ML science, product, iOS, and SRE teams, combining reliability engineering with product sensibility. Example work includes debugging production memory leaks in Kubernetes workers, shipping billing UI components, and strengthening egress controls for code-execution sandboxes.

Requirements

Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Data Science, Information Systems, or a closely related technical or quantitative field involving substantial engineering coursework.
At least 4 years of full-stack engineering experience, with meaningful depth in backend services and React/TypeScript frontend development.
Strong Python backend skills, including asynchronous patterns, FastAPI, distributed state machines, and Kubernetes pod lifecycle.
Proficiency in TypeScript and React, including production UI components, real-time streaming interfaces, complex state management, and responsive web and mobile-web layouts.
Experience building and operating services at scale, including rolling deployments, autoscaling, worker concurrency, and graceful termination.
Experience with observability tooling such as Datadog, Weave tracing, and structured logging, and a track record of building dashboards that surface actionable signals.
Security-conscious engineering experience, including input validation, sandboxed code execution, egress controls, and payload hardening.
Experience with MySQL or a similar relational database management system for transactional state management.

Nice To Haves

Experience building streaming user interfaces using server-sent events or WebSockets, with graceful fallback handling.
Background in ML infrastructure, developer tooling, or observability platforms.
Hands-on experience building and shipping production-grade AI agents, including tool use, multi-turn conversation management, and agent reliability patterns.
Comfort working in a fast-paced startup environment, moving quickly, making pragmatic tradeoffs, and iterating on user feedback while maintaining production quality.

Responsibilities

Build and maintain ARIA, an AI research agent that supports continuous experimentation at scale.
Own features and systems across backend infrastructure, API design, and React frontend experiences.
Build and maintain distributed worker systems that run multi-turn agent conversations at scale.
Design streaming architecture that delivers real-time token output to the browser.
Develop and maintain frontend experiences for chat, billing, and agent configuration.
Collaborate with ML science, product, iOS, and SRE teams.
Debug production issues, including memory leaks in Kubernetes workers.
Harden egress controls for the code-execution sandbox.
Build reliable, intuitive product experiences and contribute to end-to-end ownership of outcomes.