Spring AI — Founding Engineer

DavidJoseph&Co

  • New York, New York
  • 6 days ago
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    Skills

    • Accountingunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Banking Servicesunmatched
    • Business Analysisunmatched
    • Business Bankingunmatched
    • Cloud Computingunmatched
    • Consumer Packaged Goodsunmatched
    • Continuous Improvementunmatched
    • Customer Relationsunmatched
    • Energy Engineeringunmatched
    • Financial Transactionsunmatched
    • Fundingunmatched
    • GitHubunmatched
    • Head of Financeunmatched
    • LinkedInunmatched
    • Loansunmatched
    • Machine Toolunmatched
    • Product Developmentunmatched
    • Productivity Managementunmatched
    • Python Programming/Scripting Languageunmatched
    • Quality Managementunmatched
    • Slackunmatched
    • Startupunmatched
    • Technical Leadershipunmatched
    • User Interface Toolsunmatched
    • User Interface/Experience (UI/UX)unmatched
    • Wheel/Front-End Loaderunmatched

    Description

    Spring AI — Founding Engineer

    Type: Full-time | On-site | New York City, NY Compensation: $175,000–$250,000 + Meaningful equity (no specific % stated) Hiring count: 1 Visa sponsorship: None available Reports to: Oliver, CTO / Founder (LinkedIn not provided)

    About Spring AI

    Spring is an AI-native lender. Its first eight months were spent building novel in-house software — loan management systems, payment rails infrastructure, and tooling to analyze business bank transactions and financials — a foundation that let it originate over $100M in funding to CPG brands within its first year. Spring is now building the product that infrastructure was designed to power: an AI CFO agent that operates across 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, inspired by Claude Code's architecture, uses its own outputs to continuously improve.

    Founded: 2025 | Team size: 9 (Series A) | Total funding: not stated Industry: FinTech Website: spring.ai Office: New York City, NY

    Why Candidates Should Join

    • Outsized ownership: No dedicated product person — whoever joins shapes what gets built and how, with tech-lead autonomy from day one.
    • Real data moat: The lending business supplies deep financial data, direct customer relationships, and the real-world workflows the agent automates.
    • Frontier agent work: ~75% of time on a self-improving AI CFO agent inspired by Claude Code; ~25% on the lending infrastructure underneath.

    Intake Call Summary

    • No intake call transcript available — the Contrario page provides an intake video only (not transcribed). See flags in chat.

    The Role

    Founding Engineer working primarily on the new AI CFO agent, with tech-lead-level autonomy from day one. The team is 9 people, with 2 current developers (Oliver and Lucas, both ex-HFT); a third engineer just accepted a trial offer. Time split 75% new AI agent work / 25% existing lending infrastructure. Primarily backend Python with TypeScript frontend exposure. No customer-facing work or formal product ownership expected.

    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 business and the AI agent business 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.

    Role Details

    Salary$175,000–$250,000EquityMeaningful (no specific % stated)On-site policyNYC in-personVisa sponsorshipNone availableEmployment typeFull-timeLocationNew York City, NY

    Screening Questions

    • None provided on the Contrario role page. See flags in chat.

    Interview Process

    Stage 1 — Pending Approval — Candidates awaiting initial approval. Stage 2 — First Round with Oliver (CTO / founder) — Initial interview with the CTO/founder. Stage 3 — Second Round, Technical — Shared-screen system design + implementation. One ambiguous problem, ~15 min verbal design discussion, then implementation. Not algorithms-heavy. Stage 4 — On-Site — 3-hour on-site in NYC. Stage 5 — Offer ExtendedStage 6 — Candidate Hired — Candidate accepts and starts.

    Ideal Companies & Backgrounds

    • Not provided on the Contrario role page.

    Ideal Candidate Profiles

    • Not provided on the Contrario role page.

    Rejected Candidate Feedback

    • Not provided on the Contrario role page.

    Numbers & Facts

    LocationNew York, New York

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