Job Description
Job Description
New York City, NY · On-site · Full-time
Compensation: $175,000–$250,000 + meaningful equity
About the Company
An AI-native fintech lender that originated over $100M in funding to consumer brands in its first year by building novel in-house infrastructure — loan management systems, payment rails, and financial-data analysis. The company is now building the product that infrastructure was designed to power: an AI CFO agent that automates a brand's entire financial stack (deductions, email workflows, accounting and banking data). The agent renders an opinionated, real-time-mutating UI through LLM tool calls and improves continuously from its own outputs.
Founded 2025 · ~9 people · Industry: FinTech
The Role
A Founding Engineer working primarily on the new AI CFO agent, with tech-lead-level autonomy from day one. You'll join a small, technical team with no dedicated product person, giving you outsized influence over what gets built. Time split is roughly 75% new AI agent work / 25% existing lending infrastructure. Primarily backend Python with exposure to TypeScript frontend. No customer-facing work or formal product ownership.
What you'll be doing
- Build and extend the AI CFO agent's tool surface so it can complete tasks that currently take a CFO or CEO an hour or more
- Improve agent trajectory quality, and the breadth and depth of tools, so the agent reliably ships end-to-end outcomes
- Compose existing scoped tools and build new ones (email composition, document filling, payload generation, account integrations)
- Contribute to the underlying infrastructure both the lending and AI agent businesses sit on top of
- Operate as a tech lead from day one: ramp fast, own delivery, work in a Slack-native, AI-tool-heavy development cycle
Tech stack: Python (backend — APIs, async, databases, cloud deployment); TypeScript (frontend); LLM tool-calling / agentic systems
Requirements
- 0-5 years engineering, hard cap at 5
- Excellence signal: notable startup, big tech, or top university CS
- Python backend fundamentals
- AI-native: Claude Code, Codex daily
- Self-motivated tech lead, ramps fast
- NYC in-person
Green Flags
- Notable startup or big tech background showing the candidate cleared a real bar to get in (high-clout internships count). Confirms execution under pressure.
- Top university CS or technical degree paired with active engineering signal (GitHub, side projects, hackathon wins).
- Quant or HFT engineering background. Matches the existing team profile (both current devs are ex-HFT).
- AI-native daily usage of Claude Code, Codex, or comparable. Has strong opinions on agent tool design.
- Socialized, high-energy engineer who is excited about the product, not just a backend dev who wants to talk only to a database.
Red Flags
- Indie-dev-only background without notable startup, big tech, or top university signal. Hard to differentiate from low-clout AI-note-taker-tier work.
- More than 5 years of experience.
- Zero-to-one experience but no users, no story to tell, no demonstrable shipping signal.
- Resume polish without excellence markers: mid-university + unrelated experience + no notable inflection point.
- Wants spoon-feeding or detailed scope handoff. Cannot operate as tech lead from day one.
Why Join
- Outsized ownership on a small team with no dedicated product person — you shape what gets built and how
- A real data moat: deep financial data, direct customer relationships, and real-world workflows the agent automates
- Frontier agent work on a self-improving AI CFO agent, inspired by Claude Code's architecture