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Clera

Founding AI Engineer

San Francisco$225k–$255kfulltimemidAdded today

About this role

Join an early-stage B2B SaaS pricing intelligence startup as a founding AI engineer. You'll design eval systems, build LLM infrastructure across multiple providers, and develop AI personas to power a revenue-critical pricing platform in San Francisco.

What you'll do

  • Design and build evaluation harnesses and benchmarks using real pricing outcomes as ground truth
  • Develop AI personas that simulate B2B buying committees using usage data and call transcripts
  • Own LLM routing across providers (Anthropic, Google, etc.) with explicit cost, latency, and quality tradeoffs
  • Extend MCP servers to enable agent-driven features for customer-facing agents
  • Build structured data models using typed ontologies (e.g., Pydantic) to ensure auditable model outputs
  • Maintain infrastructure and data residency boundaries for SOC2/GDPR compliance

What they're looking for

  • LLM infrastructure and multi-provider routing
  • Evaluation systems and observability for LLM products
  • Structured data modeling (Pydantic, typed ontologies)
  • End-to-end feature ownership from development through production
  • MCP (Model Context Protocol) development
  • Data residency and compliance controls (SOC2, GDPR)
  • LangChain, LlamaIndex, or similar LLM frameworks
  • Product-engineer mindset and cross-functional communication

Benefits

  • Founding-team equity opportunity at early-stage, high-growth startup
  • On-site collaboration in San Francisco with small, product-focused team
  • Opportunity to shape technical direction of revenue-critical AI platform
  • Work on high-stakes B2B deals with measurable business impact
  • Hands-on involvement in LLM infrastructure and agent systems
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

View all jobs at Clera

Likely interview questions

  • Walk us through a production LLM feature you shipped end-to-end—what were the biggest challenges in getting it to reliability?
  • Describe your experience building evaluation harnesses for LLM systems. How did you handle ground truth and release gating decisions?