Job Description
Job Description
The build: Our client is building full-stack AI systems for hospitality operations and guest communication. As an engineer on a small team with end-to-end product ownership, you'll own retrieval, tool orchestration, response generation, and production reliability — from the model-routing layer down to the infra.
This is an agent-reliability role: real conversations, messy data, third-party APIs that fail mid-flow. You make it work anyway.
What you'll do
- Design and build the response generation pipeline — routers, orchestrators, synthesizers that classify intent, assemble context, select tools, and decide whether to send or escalate.
- Develop knowledge retrieval that grounds responses in accurate, complete, current data despite messy inputs.
- Build tool orchestration layers that execute multi-step workflows reliably, with graceful handling of API failures mid-conversation.
- Create evaluation frameworks that measure quality against real conversations and catch regressions pre-customer.
- Implement observability and tracing that makes agent reasoning legible to non-technical support teams.
- Design no-code controls that let support leads adjust agent behavior.
- Extend the system to voice — real-time transcription and the same tool-use capabilities as text.
- Optimize speed and cost via model routing, caching, and prompt refinement.
- Own infra, data pipelines, integrations, and API work.
Requirements
What we're looking for
- Proven track record shipping production systems real users depend on.
- Full-stack comfort — you pick up whatever the problem requires.
- Deep thinking about reliable retrieval pipelines.
- Pragmatism about models: frontier, fine-tuned, or simpler — whatever fits.
- Strong eval discipline; you measure impact on real conversations before shipping.
- Experience where your work directly shapes the product