Software Engineer

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.

• 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