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Member of Technical Staff

Clera

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Skills

Required

  • retrieval
  • pipelines / prompt engineering / model orchestration
  • integrations
  • observability
  • production AI / machine learning systems
  • semantic search / ranking / context validation
  • backend language
  • Python / Go / Rust / Java
  • multi-step workflows / function calling
  • production failure handling
  • system evaluation
  • real-time or low-latency systems
  • voice or
  • audio processing

Preferred

  • orchestration
  • Design response-generation pipelines
  • intent routing
  • context assembly
  • tool selection
  • Build retrieval systems
  • catch regressions
  • Implement observability and tracing
  • Build interfaces and controls

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.

Responsibilities

  • 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.

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.

Pay

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.