Software Engineer (Senior)

Hyphenate•New York, NY

159d

About The Position

Hyphenate is building an AI operating system for CFO offices. Its Audit-Ready AI Agents connect to companies’ finance systems and automate work across order to cash, record to report, treasury management, financial reporting, and audit readiness. A Unified Finance Context layer captures transactions, policies, contracts, historical decisions, and accounting judgment so agents can reason, explain decisions, escalate uncertainty, and improve over time. Senior engineers own a finance domain—such as revenue, cash, close, reporting, payroll, fixed assets, tax, or controls—and ship it end to end with a pod of two to three engineers. They work directly with controllers, accountants, and CFOs to understand problems and build systems that replace manual processes. The work spans product judgment, system design, AI pipelines, infrastructure, backend, and UX, with engineers expected to use AI coding agents fluently and take ownership from problem discovery through delivery.

Requirements

At least 5 years of software engineering experience, mostly in backend or infrastructure.
Strong backend skills in a modern language such as Python, Go, Java, or Rust, or a similar language; the company’s stack is Python, and candidates with deep experience elsewhere should be able to ramp quickly.
Experience building challenging backend systems such as distributed pipelines, transactional or ledger systems, integration platforms, or workflow engines.
Experience working at an early-stage startup from pre-seed through Series B.
Ability to learn finance workflows quickly and translate them into software.
Ownership mindset, including scoping work, considering customer needs, making decisions, and driving outcomes without waiting for direction.
Ability to solve problems end to end across LLM pipelines, infrastructure, backend, and UX.
High-level fluency with AI coding agents and experience shipping production code through them.

Nice To Haves

Experience in fintech, ERP, accounting, payments, banking, treasury, audit, or compliance software.
Experience building production AI agents rather than demos.
Experience building evaluation frameworks, verification systems, or observability platforms for AI.
Experience with data warehouses, financial systems, or enterprise integrations.
A track record of being an engineer customers specifically request.

Responsibilities

Own a finance domain and ship it end to end with a pod of two to three engineers.
Work directly with controllers, accountants, and CFOs to understand workflows and build software that replaces manual processes.
Build trustworthy AI agents, including verification, guardrails, observability, and evaluation systems.
Develop financial context for agents using transactions, ledgers, contracts, policies, and historical decisions while avoiding bloat, drift, and data leakage.
Ingest, normalize, and reconcile data from enterprise systems including ERPs, banks, payroll, billing platforms, CRMs, and email.
Orchestrate durable, replay-safe AI workflows across flaky, stateful enterprise systems.
Build safe, idempotent, audit-ready writebacks to ERPs and other financial systems with full traceability.
Make decisions across the LLM pipeline, infrastructure, backend, and UX, and drive work from problem discovery to shipped feature.
Use AI coding agents to deliver production code.
Investigate failures and address their root causes.