Job Description - 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.











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










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