Staff AI-First Fintech Engineer

Bloc Recruitment

San Francisco (CA)

Hybrid

USD 350,000 - 400,000

Full time

2 days ago
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Benefits offered by this job

Remote/hybrid flexibility

Job summary

Bloc Recruitment seeks a Staff/Principal Software Engineer for an AI-native fintech startup born from a $10m seed and led by top VC partners. You will architect end-to-end AI-driven bookkeeping workflows, own core integrations, and build a scalable ledger from the ground up.

Expect daily shipping in TS/Next.js with frontend-heavy work and direct customer interaction. Senior engineers with 5+ years of hands-on experience, proven AI/LLM in production, and comfort with ambiguity are invited to

Qualifications

  • 5+ years hands-on software engineering experience.
  • Deep TypeScript/Next.js fluency across the full stack.
  • Real experience building with LLMs/AI agents in production.
  • Comfortable owning ambiguous problems with minimal direction.

Responsibilities

  • Build AI agents that autonomously run end-to-end bookkeeping workflows for SMBs.
  • Own integrations with Ramp, Brex, Gusto — scoping through production, no handoffs.
  • Architect an accounting ledger from scratch — the core financial data infrastructure.
  • Ship daily in TypeScript/Next.js, full stack (60% frontend, 40% backend).
  • Talk directly to test customers and partners you drive the product, not a spec doc.

Skills

TypeScript/Next.js fluency
Hands-on software engineering
AI/LLMs production experience
Ambiguity ownership
Full-stack (60% frontend, 40% backend)

Tools

Ramp integration
Brex integration
Gusto integration

Job description

Bloc Recruitment seeks a Staff/Principal Software Engineer for an AI-native fintech startup born from a $10m seed and led by top VC partners. You will architect end-to-end AI-driven bookkeeping workflows, own core integrations, and build a scalable ledger from the ground up.

Expect daily shipping in TS/Next.js with frontend-heavy work and direct customer interaction. Senior engineers with 5+ years of hands-on experience, proven AI/LLM in production, and comfort with ambiguity are invited to

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