Senior AI Engineer
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Role details
Tech stack
Job description
Own a finance domain end-to-end - from context engineering and prompt design through tool use, evals, guardrails, and the UX around them - working directly with controllers, accountants, and CFOs to replace manual processes with production-grade agent systems. This is a backend-heavy, full-stack-in-practice role: no PM writes your specs and no architecture committee gates your ideas., * Own a finance domain end-to-end, building the agent system that automates it across context, prompts, tools, evals, guardrails, and UX
- Design and implement durable, replay-safe orchestration for long-running AI workflows across flaky, stateful enterprise systems
- Build the trust layer for non-deterministic systems: evals, verification, guardrails, and observability that catch agent mistakes before a human does
- Ship full-stack when the work calls for it, owning decisions across the LLM pipeline, infrastructure, backend, and UX within your pod
- Do serious context engineering: retrieval, memory, and tool design over large, messy, proprietary financial data
- Build idempotent, audit-ready write-back systems for ERPs and financial systems with full traceability
Tech stack: Python (primary stack)
Requirements
- 2+ years building and shipping production AI agents
- 4+ years backend or infrastructure engineering
- Research background in ML, NLP, or AI agents
- Early-stage startup experience (pre-seed to Series B)
- NYC in-person, startup hours, 6 days a week, 9am to 7pm or 8pm
Green Flags
- Strong agentic systems track record
- Research background in ML, NLP, or agents
- Graduated post-2021 with direct agentic-era experience
- Fintech, ERP, or accounting software background
Red Flags
- Frontend-heavy background with little backend depth
- Generic AI resume without architectural depth
- Multiple short tenures
Benefits & conditions
Pulled from the full job description
- Health insurance
- 401(k) matching
- Vision insurance
- Dental insurance, * Own a finance domain end-to-end with no PM gating your specs and no committee gating your ideas
- Work on hard, novel problems: trustworthy agents for finance and audit, context engineering over messy financial data, durable orchestration across flaky enterprise systems
- Meals and stocked NYC office, 401(k) with employer match, and full medical, dental, and vision for employees and dependents
About the company
A seed-stage startup building the AI operating system for the CFO office - audit-ready AI agents that connect to a company’s existing finance stack and automate the full order-to-cash, record-to-report, treasury, and financial-reporting workflow, so finance teams review exceptions while AI handles the rest. Venture-backed by leading investors and experienced finance operators.
Founded 2023 · 1-10 people · Industry: AI Tools
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