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Overview
Mid-Level

Forward Deployed Engineer

Confirmed live in the last 24 hours

CoreWeave

CoreWeave

Compensation

$188,000 - $275,000/year

Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA
Hybrid
Posted March 25, 2026

Job Description

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.
 
 

What You’ll Do

About the Role

As a Forward Deployed Engineer (FDE) you will work directly with our customers, embedding inside their AI teams to help them build and deploy successful AI agents with the W&B Weave developer toolkit.

This is a hands-on, customer-facing engineering role—ideal for someone who thrives in high- impact environments, enjoys solving open-ended technical problems, and wants to shape how the world’s leading organizations build with AI.

Responsibilities

  • Embed inside customer AI engineering teams to design, prototype, and productionize AI agents using W&B Weave.
  • Act as a trusted technical advisor, helping customers make architectural decisions and best practices for agentic workflows.
  • Develop reference implementations, demos, and example projects that showcase effective use of W&B Weave.
  • Gather and relay feedback from the field to influence the W&B Weave product roadmap and improve the AI developer experience.
  • Conduct technical workshops, deep dives, and enablement sessions to accelerate customer adoption.
  • Troubleshoot and resolve technical challenges in customer environments

Who You Are

  • Bachelor’s degree (or international equivalent) in Computer Science, Engineering, or a related technical field.

  • 3+ years of professional experience in software engineering, ML engineering, or applied AI roles.

  • Strong proficiency in Python and experience with modern ML/AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face).

  • Hands-on experience building, deploying, or operating LLM-powered applications or AI agents in production environments.

  • Experience with agent orchestration frameworks or tooling (e.g., LangChain, LlamaIndex, custom orchestration systems).

  • Demonstrated experience working directly with customers in technical consulting, solutions engineer

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