C
CoreWeave
Forward Deployed Engineer (AI Agents)
Skills
PythonProduct StrategyPyTorchTensorFlowMachine LearningAI
2 months ago
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Important information
Contract type:
Permanent
Salary:
$182,000 – $242,000 / year
Location:
Sunnyvale, CA, USA
Work mode:
Onsite
Published on:
17 August 2026
What they need
- 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- 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
- 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
- Comfortable working in fast-paced, ambiguous environments where creativity and problem-solving are key
- ○ Prior forward deployed / field engineering / solutions architect roles
- ○ Working with vector databases, retrieval-augmented generation, or reinforcement learning
- ○ Building production ML/AI systems
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