3+ years of experience in production systems; 5+ years preferred.
Hands-on experience with AI or machine learning systems, including retrieval pipelines.
Experience in building and evaluating knowledge retrieval systems like semantic search.
Proficient in backend languages such as Python, Go, Rust, or Java.
Experience with multi-step workflows and third-party integrations.
Product engineering ownership, ideally in a startup environment.
Familiarity with real-time systems, voice processing, or model optimization.
Responsibilities
Design response-generation pipelines for guest requests.
Build retrieval systems for accurate customer information.
Develop multi-step workflows that handle API failures.
Create evaluation frameworks using real conversations.
Implement observability to clarify agent behavior for support teams.
Build user-friendly interfaces for non-technical teams.
Extend platform capabilities to include voice interactions.
Benefits
Health insurance coverage.
401(k) matching contributions.
Full Job Description
About the Role
Join a small engineering team building AI systems for hospitality workflows. You will own full-stack components that help resolve guest requests end to end, from understanding intent and retrieving relevant information to coordinating tools and generating responses. What You'll Do
Design response-generation pipelines, including intent routing, orchestration, context assembly, tool selection, and escalation decisions.
Build retrieval systems that ground responses in accurate, complete, and up-to-date customer information.
Develop reliable multi-step tool workflows that handle third-party API failures gracefully.
Create evaluation frameworks using real conversations to measure quality and catch regressions.
Implement observability and tracing that make complex agent behavior understandable to support teams.
Build interfaces and controls that let non-technical teams adjust agent behavior.
Extend the platform to voice with real-time transcription and tool use.
Improve speed and cost through model routing, caching, and prompt refinement, while contributing to infrastructure, data pipelines, integrations, and APIs.
What We're Looking For
At least 3 years of experience building and shipping production systems used by real people; 5 or more years is a plus.
Hands-on experience designing and debugging production AI or machine learning systems, including retrieval pipelines, prompt engineering, or model orchestration.
Experience building and evaluating knowledge retrieval systems, such as semantic search, ranking, or context validation.
Proficiency in a backend language such as Python, Go, Rust, or Java, and the ability to work across the stack.
Experience with multi-step workflows or function calling, third-party integrations, production failure handling, observability, and system evaluation.
Product engineering ownership, ideally in a startup or as a product-focused founder, with a record of shipping production products.
Experience with real-time or low-latency systems, voice or audio processing, user-facing configuration tools, or model cost and latency optimization is useful.
Compensation & Benefits
Base salary: $130,000 to $220,000 annually, plus 0.20% to 1.20% equity. Benefits include health insurance and a 401(k) match. Visa sponsorship is not available; candidates must be authorized to work in the United States. Location
