Member of Technical Staff

Wwshemi; San Francisco (CA); On-site; USD 130,000 - 220,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Job summary

Wwshemi in San Francisco, CA is seeking an experienced software engineer to own full-stack AI systems for hospitality. You will build end-to-end components that understand intent, fetch data, and coordinate tools to generate responses.

Join a small team shipping production software with a focus on observability, performance, and cost optimization. Visa sponsorship is not available; candidates must be authorized to work in the United States.

Qualifications

• 3+ years shipping production software used by real people; 5+ years is relevant experience.
• Experience designing, debugging, and evaluating production AI/ML systems, incl. retrieval, prompt engineering, or model orchestration.
• Hands-on contributor across backend, frontend, infrastructure, or data pipelines.

Responsibilities

• Build response-generation pipelines that classify intent, assemble context, select tools, and decide to respond or elevate.
• Develop retrieval systems grounding responses in current customer data, including messy inputs.
• Build multi-step tool workflows and manage third-party API failures during conversations.
• Create evaluation frameworks using real conversations to measure quality and catch regressions.
• Implement observability and tracing to make agent behavior understandable for support teams.
• Build interfaces and controls for non-technical teams to configure agent behavior.
• Extend capabilities to voice, including real-time transcription and tool use.
• Improve speed and cost via model routing, caching, and prompt refinement; own related data pipelines and APIs.

Skills

Production software

AI/ML systems design

Backend programming

API integration

Observability

Education

Bachelor's degree in CS or related

Tools

Python

Go

Rust

Java

Job description

This listing's locations On-site - San Francisco, California, United States

Employment Full-time

Workplace On site

Compensation $130000–220000 per year

Join a small engineering team building AI systems for hospitality operations. You will own full-stack components that resolve guest requests, from understanding intent and retrieving relevant information to coordinating tools and generating responses.

What You'll Do

• Build response-generation pipelines that classify intent, assemble context, select tools, and determine whether to respond or elevate.
• Develop retrieval systems that ground responses in accurate, current customer data, including handling messy inputs.
• Build reliable multi-step tool workflows and manage third-party API failures during conversations.
• 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 configure agent behavior.
• Extend agent capabilities to voice, including real-time transcription and tool use.
• Improve speed and cost through model routing, caching, and prompt refinement, while owning related infrastructure, data pipelines, integrations, and APIs.

What We're Looking For

• At least 3 years of experience shipping production software used by real people; 5 or more years is relevant experience.
• Experience designing, debugging, and evaluating production AI or ML systems, including retrieval, prompt engineering, or model orchestration.
• Hands-on individual-contributor experience across multiple areas of the stack, such as backend, frontend, infrastructure, or data pipelines.
• Proficiency in a backend language such as Python, Go, Rust, or Java, and experience integrating third-party APIs.
• Experience with retrieval quality, multi-step workflows or function calling, production evaluation, and observability or tracing.
• Strong software engineering fundamentals supported by relevant formal education.
• Experience with real-time systems, voice, user-facing configuration tools, or model cost and latency optimization is valuable.

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.