Engineer in Residence, Live Commerce AI
Mountain View, CA$10k/moContractPosted 5mo ago
About the role
Engineer in Residence role focused on building a real-time AI copilot for live-commerce hosts across platforms, handling chat, inventory, listings, and post-show outputs with an emphasis on latency, guardrails, and authentic host experience.
Responsibilities
- Own the real-time system across chat ingestion, retrieval, guardrails, operator UX, listing controls, and post-show outputs.
- Work with AI Fund and users to select the first platform, workflow, and success metrics.
- Design the automation ladder from draft support to host-controlled agentic replies without undermining authenticity or seller trust.
- Make decisions about latency, availability, price, policy, tone, and escalation so higher-autonomy features remain safe.
- Work with AI Fund's build team on product wedge, technical risk, and the path from pilot to a broader live-commerce operating system.
Qualifications
- Strong full-stack engineering ability across real-time systems, operator workflows, integrations, and AI products.
- Demonstrated experience building GenAI products with retrieval, tool use, guardrails, evals, and production feedback loops.
- Product judgment for human-in-the-loop automation where the system removes backstage work while the host remains in control.
- Ability to iterate quickly with external users and translate ambiguous feedback into working product decisions.
- You know how to use AI coding assistants and modern AI tools to accelerate implementation without shipping brittle real-time logic.
- US work authorization. We are unable to sponsor visas for this role.
Skills
Required:Full-stack engineeringGenAI product developmentHuman-in-the-loop automationRapid iteration with external usersAI tooling proficiency
Last updated Oct 21, 2026. Interested? Apply on the company site.
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