# Member of Technical Staff at Clera

Member of Technical Staff at Clera in San Francisco. On-site, full-time, paying $130k–$220k. Posted October 31, 2026.

- Company: Clera
- Location: San Francisco
- Workplace: On-site
- Job type: Full-time
- Pay: $130k–$220k
- Experience: 3+ years
- Posted: 2026-10-31
- Apply: https://jobs.ashbyhq.com/clera/bbb632a9-d06b-4601-9f1b-c17610f161ab/application
- Source: https://jobmagic.ai/jobs/member-of-technical-staff-clera-k6bagk

## Requirements

- 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.

## 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

On-site in San Francisco, California.