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# Software Engineer

- **Company:** HANOVER PARKE ASSOCIATION, INC.
- **Location:** New York, NY, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Integration, Large Language Models, Backend, Front End Software Development, Automation Anywhere
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/software-engineer-hanover-park-8115194

## About the Role

Need:

 * Strong full-stack fundamentals across frontend, backend, and infra
 * Production experience building or integrating LLM/AI workflows
 * High ownership - you don't wait for a spec to start solving a problem

Nice to have:

 * Fintech or accounting software background
 * Data-intensive backend work (healthtech, insurance, finance, loans)
 * Seed-to-Series B startup experience

## Description

Hanover Park is an engineering-first company on a mission to build the best engineering team. Our investors keep asking: "How are you shipping this much product?" You would join a builder culture.

No bureaucracy. No hierarchy. We care about shipping delightful products to our customers. Nothing else.

You'll work directly alongside our CTO, making technical decisions on the infrastructure behind billions of dollars in private markets assets - with real ownership over core systems, not features on a roadmap managed by someone else.

What you'll work on

 * AI-powered automation that cuts manual work out of fund administration: the workflows private equity, venture capital, and asset managers have complained about for 20 years
 * Full-stack products owned end-to-end - frontend, backend, infra, AI, deployment
 * Hard technical problems at the intersection of AI, finance, and accounting
 * Architecture and technical decisions alongside the CTO, * You need a PM to define the problem before you can start
 * You're used to dedicated QA and design support and struggle without it
 * You need multiple rounds of review before anything ships

Why join now

Private markets are a $100 trillion asset class that's never had infrastructure built for it. We're building it. The learning curve is steep, the velocity expectations are high, and the work actually matters.


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