Founding Engineer at Clera | CA, US | Rezi

Founding Engineer at Clera

Founding Engineer

Clera · CA, US

Today

Founding Engineer

Clera · CA, US

14 hours ago
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About the Role

Founding engineering role at an AI-native fintech company building autonomous systems for end-to-end financial transaction management. You will own the technical core of a product that coordinates multi-party financial workflows, models businesses, and reasons about markets at scale. Your decisions will define the architecture and capabilities of the platform from day one.

Responsibilities

  • Build intelligence that models businesses, reconciles contradictory evidence, and reasons about how decisions propagate through companies and markets.
  • Design and ship agents that coordinate months of financial work across hundreds of counterparties, preserving context, commitments, and dependencies as conditions change.
  • Own end-to-end architecture, evaluations, infrastructure, and product interfaces for complex AI systems.
  • Help select technical teammates and establish engineering and operating standards for the team.
  • Move fluidly across backend systems, applied AI, and product interfaces to turn ambiguous problems into working products.

Requirements

  • 8 or more years of experience shipping difficult, production-grade systems and owning critical technical decisions.
  • Deep expertise in applied AI, including building intelligent agents and models for complex business processes.
  • Experience with AI components such as retrieval, memory systems, and evaluation frameworks, especially in data-intensive environments.
  • Proven ability to own end-to-end architecture and infrastructure for complex AI systems.
  • Full-stack AI engineering capability: comfortable working across backend, applied AI, and product layers.
  • Strong commitment to engineering craftsmanship, system reliability, and measuring whether systems actually work.
  • Experience building in greenfield or first-principles environments is a strong plus.
  • Background in financial services, investment banking, or other complex professional workflows is an advantage.

Skills

  • Applied AI
  • Intelligent agents
  • AI models
  • Retrieval systems
  • Memory systems
  • Evaluation frameworks
  • Data-intensive environments
  • End-to-end architecture
  • Infrastructure
  • Backend systems
  • Product interfaces
  • Engineering craftsmanship
  • System reliability

Location

  • San Francisco, CA, United States

Work Type

  • On-site

Experience Level

  • 8+ years

Salary/Compensations

  • $180,000 to $300,000 USD annually
  • Equity included