Whatnot
AI Tooling Engineer
$200K–$260K
San Francisco, CA +3 · Full-time · Posted Jun 8, 2026
- Location
- San Francisco, CA
New York, NY
Los Angeles, CA
Seattle, WA
About the job
Builds internal AI tools, prototypes, integrations, and workflows that help Whatnot teams use off-the-shelf AI reliably and at scale.
What you'll do
- Identify cross-company opportunities and build AI solutions from prototype through production.
- Integrate AI tools with internal systems and data, and establish reusable patterns and infrastructure.
- Partner with business teams to build solutions, then scale adoption through reusable resources and enablement.
What they ask for
- Hands-on experience building with current LLM products and agent frameworks, including production AI patterns.
- Experience integrating AI with real data and tools through APIs, webhooks, and connectors.
- Ability to build across frontend, backend, data, and AI layers and assess reliability, latency, cost, and access controls.
- Experience defining engineering patterns, mentoring others, and communicating with non-technical users.
Pay
$200K - $260K (USD; base salary or total pay not specified)
Tools
Anthropic, OpenAI, Google, Cowork, Glean, Dust, RAG, MCP
AI focus
Applied AI engineering with off-the-shelf models: internal tools and automations, prompt engineering, RAG, MCP, agents, evaluations, integrations, and adoption. Not model training or research.
Model-written summary · the original posting is authoritative