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Principal / Staff+ Engineer - Agentic AI (San Francisco)

Remote

Job Type

Full Time

Requirements

Principal / Staff+ Engineer – Agentic AI (San Francisco)


Looking for experienced builders only. Join a small, elite, execution-focused team and personally own an entire technical domain at an AI-native fintech pushing agentic AI into one of the highest-stakes industries.


Comp: $330K–$380K+ base + competitive equity


Stack: Python, Node.js, React, Frontier AI Tools


This role is primarily on-site in San Francisco (3-5 days/week), with remote flexibility for exceptional candidates.


You will:

  • Own architecture and engineering for an entire technical domain.

  • Architect, build, and ship production AI systems alongside your team.

  • Lead a pod through technical credibility while remaining deeply hands-on with code.

  • Build AI agents across voice, chat, retrieval, evaluation, and computer use.

  • Own the technical bar for quality, reliability, and velocity.

  • Partner with Product as an equal owner of outcomes.

  • Use Claude Code, Cursor, and frontier models as part of the daily engineering workflow.

100% Required:

  • Staff or Principal-level Software Engineer with 6–14 years of experience.

  • Experience scaling with an early-stage startup (Series A–C).

  • Owned a critical system or product end-to-end from 0→1.

  • Strong distributed systems and software architecture fundamentals.

  • Deep, daily use of frontier AI tools such as Claude and Cursor.

  • Strong hands-on engineering skills, ideally across Python, Node.js, and React.

  • Comfortable leading technically without moving into pure management.

Other Skills:

  • Hands-on technical founder experience.

  • Conversational AI, voice AI, or agentic systems experience.

  • Experience building production LLM or AI systems.

  • BS/BA in Computer Science or a related technical field.

  • MS or PhD in a related technical field.

  • Experience building high-scale fintech or financial infrastructure.

How The Company Works

  • AI-native – frontier AI tools are part of the standard engineering workflow.

  • Hands-on – senior technical leaders still architect, code, review, and ship.

  • High ownership – own an entire domain rather than a narrow piece of a system.

  • Small senior team – engineering is organized into high-leverage pods.

  • Production-focused – real AI products serving 100+ financial institutions.

  • Early-stage impact – Series A and already cash-flow positive.

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