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CoreWeave

Rents GPU cloud computing for AI developers

Senior Software Engineer - W&B Agent

Full-Stack EngineeringUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • A 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 coursework in Engineering.
  • At least 4 years of full stack engineering experience, with meaningful depth in both 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 layouts across web and mobile web.
  • Experience building and operating services at scale, including rolling deploys, 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.
  • A security-conscious engineering mindset, 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.

Responsibilities

  • Own features and systems across the full stack, from backend infrastructure and API design to the React frontend for chat, billing, and agent configuration experiences.
  • Build and maintain distributed worker systems that run agent conversations at scale.
  • Design streaming architecture that delivers real-time token output to the browser.
  • Contribute to frontend components that make the ARIA agent experience fast and intuitive.
  • Collaborate with machine learning science, product, iOS, and site reliability engineering teams.
  • Debug production memory leaks in Kubernetes workers, ship billing UI components, and harden egress controls on the code execution sandbox.
  • Own the end-to-end outcome of building a fast, reliable agent experience that accelerates machine learning workflows.

Desired Qualifications

  • Experience building streaming user interfaces with server-sent events or WebSockets and graceful fallback handling.
  • Background in machine learning infrastructure, developer tooling, or observability platforms.
  • Hands-on experience building and shipping production-grade AI agents, including tool use, multi-turn conversation management, and agentic reliability patterns.
  • Ability to move quickly, make pragmatic tradeoffs, and iterate on real user feedback while maintaining production quality in a fast-paced startup environment.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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