Forward Deployed Engineer, AI Agents

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 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 [... source excerpt omitted ...] e the AI developer experience. Conduct technical workshops, deep dives, and enablement sessions to accelerate customer adoption. Troubleshoot and resolve technical challenges in customer environments. Qualifications Strong engineering background with experience in Python and modern ML/AI systems frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.). 5+ years of professional software engineering or hands-on coding experience 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 customer [... source excerpt omitted ...] holders. Comfortable working in fast-paced, ambiguous environments where creativity and problem-solving are key. Experience in one or more of the following is a plus: - Building production ML/AI systems. - Working with vector databases, retrieval-augmented generation, or reinforcement learning. - Prior forward deployed / field engineering / solutions architect roles. The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package inc