Forward Deployed Engineer, AI Agents

Weights & Biases Weights & Biases · Data AI · San Francisco, CA +1 · Global Field Organization - COR

This role involves embedding within customer AI teams to help them build and deploy AI agents using the W&B Weave developer toolkit. It's a hands-on, customer-facing engineering position focused on designing, prototyping, and productionizing AI agents, acting as a technical advisor, developing reference implementations, and gathering customer feedback to influence the product roadmap.

What you'd actually do

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

Skills

Required

  • Python
  • modern ML/AI systems frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.)
  • LLMs
  • AI agents
  • orchestration frameworks
  • technical consulting or solution engineering roles
  • communication skills

Nice to have

  • Building production ML/AI systems
  • Working with vector databases
  • retrieval-augmented generation
  • reinforcement learning
  • Prior forward deployed / field engineering / solutions architect roles

What the JD emphasized

  • AI agents
  • agentic workflows
  • productionize AI agents

Other signals

  • customer-facing
  • AI agents
  • developer toolkit
  • productionize