Founding AI Engineer & Systems Lead

Clera Labs, Inc.

San Francisco (CA)

Vor Ort

USD 150.000 - 225.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Founding-team equity

Zusammenfassung

Clera Labs, Inc. seeks its first software engineer to collaborate with the founder and establish the engineering foundation.

You will build AI systems that streamline insurance workflows for small and medium businesses, starting from 0 to 1 in a fast-moving environment. Responsibilities include creating browser-use agents, voice AI integrations, and end-to-end systems with robust evaluation frameworks, plus carrier integrations and policy-analysis tooling.

Qualifikationen

  • 0–5 years of software engineering experience.
  • Hands-on production LLM/AI agent experience.
  • Experience with Python or TypeScript.
  • Ability to own systems from 0 to 1 in a fast-moving environment.
  • A computer science or engineering degree.

Aufgaben

  • Build browser-use agents to automate insurance workflows.
  • Develop voice AI for interactions with clients and insurance carriers.
  • Create long-horizon LLM pipelines and robust evaluation frameworks.
  • Build carrier integrations and AI-powered quoting and submission workflows.
  • Develop AI agents for policy analysis and document processing.
  • Own systems end to end and shape the technical direction from the ground up.

Kenntnisse

Production LLM / AI agent systems
Python or TypeScript
Browser-use agents / autonomous agent
System design & debugging fundamentals
Early-stage startup experience
Open-source AI/ML contributions

Ausbildung

CS/Engineering degree

Tools

LangGraph

Jobbeschreibung

Clera Labs, Inc. seeks its first software engineer to collaborate with the founder and establish the engineering foundation.

You will build AI systems that streamline insurance workflows for small and medium businesses, starting from 0 to 1 in a fast-moving environment. Responsibilities include creating browser-use agents, voice AI integrations, and end-to-end systems with robust evaluation frameworks, plus carrier integrations and policy-analysis tooling.

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