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Forward Deployed Engineer

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Onsite

Forward Deployed Engineer

CoreWeave

Forward Deployed Engineer

Skills

PythonProduct StrategyPyTorchTensorFlowMachine LearningAI

2 months ago

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Important information


Salary:

$182,000 – $242,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

18 August 2026

What they need


Who you are

  • Strong engineering background with experience in Python and modern ML/AI systems frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.)
  • A minimum of a bachelor's degree (or international equivalent), in Computer Science or related field, is required
  • Hands-on experience with LLMs, AI agents, or orchestration frameworks
  • Ability to work directly with customers in technical consulting or solution engineering roles
  • Excellent communication skills: able to explain complex technical concepts clearly to both technical and business stakeholders
  • Comfortable working in fast-paced, ambiguous environments where creativity and problem-solving are key
  • ○ Building production ML/AI systems
  • ○ Working with vector databases, retrieval-augmented generation, or reinforcement learning
  • ○ Prior forward deployed / field engineering / solutions architect roles

What the job involves

  • 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
  • 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

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