Member of Technical Staff

Wwshemi; San Francisco (CA); Sur place; USD 130 000 - 220 000; Plein temps

Avantages offerts par ce poste

Health insurance

401(k) match

Résumé du poste

Wwshemi is seeking a skilled engineer to join a small team building AI systems for hospitality workflows. You will own full-stack components that resolve guest requests end to end, from understanding intent to coordinating tools and generating responses.

On-site in San Francisco, California, you will design retrieval pipelines, implement multi-step tool workflows, and build interfaces for non-technical teams while optimizing speed and cost.

Qualifications

• 3+ years building and shipping production systems.
• Hands-on experience with AI/ML systems including retrieval pipelines.
• Experience designing knowledge retrieval or grounding systems.
• Proficient in a backend language (Python, Go, Rust, or Java).

Responsabilités

• Design end-to-end response pipelines with intent routing and escalation.
• Build retrieval systems grounding responses in current user data.
• Create robust multi-step tool workflows with third-party failures handling.
• Develop evaluation frameworks from real conversations to detect regressions.
• Add observability and tracing to make agent behavior understandable.
• Build interfaces for non-technical teams to adjust agent behavior.
• Extend platform to voice with real-time transcription and tool use.
• Improve speed and cost via routing, caching, and prompt refinement.

Connaissances

Production systems

AI/ML systems

Knowledge retrieval

Backend languages

Workflow design

Product ownership

Real-time systems

Description du poste

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

On-site in San Francisco, California.