Forward Deployed Engineer
US$182,000 – US$242,000 / yr base salary
Posted 7 Aug 2026
Advertised as “Senior Forward Deployed Engineer, AI Agents”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
| Base salary | US$182,000 – US$242,000 / yr |
|---|
Field of studyComputer Science (or related)
Study levelBachelor's
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.
About the role
As a Senior 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
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Embed inside customer AI engineering teams to design, prototype, and productionize AI agents using W&B Weave.
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Act as a trusted technical advisor, helping customers make architectural decisions and best practices for agentic workflows.
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Develop reference implementations, demos, and example projects that showcase effective use of W&B Weave.
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Gather and relay feedback from the field to influence the W&B Weave product roadmap and improve the AI developer experience.
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Conduct technical workshops, deep dives, and enablement sessions to accelerate customer adoption.
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Troubleshoot and resolve technical challenges in customer environments.
Qualifications
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5+ years of professional software engineering or hands-on coding experience
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Strong engineering background with experience in Python and modern ML/AI systems frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.).
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A minimum of a bachelor's degree (or international equivalent), in Computer Science or related field, is required.
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Hands-on experience with LLMs, AI agents, or orchestration frameworks.
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Ability to work directly with customers in technical consulting or solution engineering roles.
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Excellent communication skills: able to explain complex technical concepts clearly to both technical and business stakeholders.