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Open nowFirst seen 4 days ago

Chief Engineer (Principal Engineer)

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Your applicationOpen nowChief Engineer (Principal Engineer)Success Matcher
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 4 days ago

The posting

Our client is a fast-growing, venture-backed AI startup building production-grade agentic AI systems for the financial services sector. Currently cash-flow positive with $30M in Series A funding, their platform reaches over 10 million users across 100+ financial institutions.

Why You Should Join

  • Work at the rare intersection of startup growth, financial stability, and real-world AI scale.
  • Own a core engineering domain with the equity, autonomy, and impact of an early founding team member.
  • Deploy production-grade AI systems directly into regulated, high-stakes environments rather than building experimental prototypes.

What You'll Do

  • Own a core technical domain end-to-end, driving architecture, engineering standards, and business outcomes.
  • Architect and build production systems directly through hands-on technical leadership.
  • Partner closely with founders and product leadership on high-impact architectural decisions.
  • Guide and unblock senior engineers while elevating the overall technical bar.
  • Build systems across AI agents, AI runtimes, conversational/voice AI, data platforms, and AI-native product experiences.
  • Drive an AI-native engineering culture using frontier tools such as Claude Code and Cursor.

Required Experience

  • 10+ years of engineering experience, with prior roles as Principal Engineer, Staff Engineer, Chief Engineer, or Technical Founder.
  • Proven experience building and owning large-scale production systems with 0 to 1 delivery.
  • Deep expertise in AI, LLMs, agentic systems, and modern AI development workflows.
  • Strong hands-on coding and system architecture capabilities.
  • Background in conversational AI, voice AI, RAG, AI evaluation systems, or fintech/regulated financial environments.
  • BS degree in Computer Science or a STEM-related field.
  • Ability to work on-site 5 days a week in San Francisco, CA.
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