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Senior Platform Engineer (AI Fintech) – AI Operating System for CFO Office

abacus group, llc • New York City Metropolitan Area
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Build the foundational AI platform layer for a cutting-edge fintech startup, designing agent frameworks, financial data pipelines, and developer tooling. Own end-to-end systems, collaborate directly with finance teams and customers, and drive architecture decisions in a fast-growing AI-native company. Requires 4-12 years of backend/data/distributed systems experience with a passion for AI and financial data infrastructure.

Key Highlights
Design and own the core platform layer for AI agents, orchestration, and financial data reconciliation
Work directly with finance controllers and enterprise customers to translate workflows into reusable abstractions
Report to CTO in a small, flat team with full ownership of systems and architecture decisions
Key Responsibilities
Design and implement agent frameworks for AI-driven financial operations (reconciliation, invoicing, subledgers, audit readiness)
Build and maintain the financial data platform that ingests, normalizes, and reconciles data from ERPs, banks, billing, payroll, and CRMs
Make architecture decisions under ambiguity and ship full-stack solutions as needed
Collaborate directly with finance controllers and enterprise customers to translate real-world workflows into reusable platform abstractions
Develop observability, verification, and developer tooling for the platform layer
Technical Skills Required
Distributed Systems LLM Agents & Orchestration Financial Data Infrastructure
Benefits & Perks
$180K to $270K base salary plus early-stage equity
Full benefits for you and dependents, including 401(k) match and meals
5 days onsite in Midtown Manhattan
Nice to Have
Experience with ledgers, reconciliation, banking, or ERP integrations
Interest in AI/ML applications beyond core platform responsibilities

Job Description

Position Summary

Our client, an AI fintech that just closed a large Series A from top-tier VCs, is building the AI operating system for the CFO office. Their agents reconcile cash, run invoicing, maintain subledgers and keep companies audit-ready, while finance teams step in only where judgment is needed. Revenue is growing fast, and they’re signing major enterprise and AI-native customers.

They’re hiring 2 to 3 engineers to own the platform layer every product team ships on top of.

What you’ll own

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