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Senior Staff Engineer, AI

Arc

New York · Hybrid Full-time Senior 6d ago

About the role

Location

Prefer Onsite NYC or SF. Open to exceptional Remote candidates

Employment Type

Full-Time

Hiring Manager

Andrew Rosen, Head of Engineering

About Arc

Arc is building the first AI-native business cash management platform. We empower high-growth companies to manage, analyze, and act on their financial data through a unified cash management, treasury, and debt-financing platform-powered by AI.

Founded in 2021, Arc is backed by world-class investors (Series A), supports thousands of technology companies as customers, and manages billions of dollars in transaction volume. With offices in NYC and SF, we operate on a Monday‑Wednesday in‑office model (Thu‑Fri optional in‑office or WFH).

We're at an inflection point.

Large enough to matter; small enough to innovate.

The Role

We are seeking a Senior Staff Engineer, AI to join Arc's engineering organization as a key technical leader. This is a foundational AI role, responsible for driving the research direction, execution, and delivery of Arc's AI-powered products across both cash management and debt marketplace products.

What You'll Do

Leadership & Strategy

  • Drive Arc's most critical AI initiatives end-to‑to‑end in a cross‑functional environment.
  • Serve as a company‑wide thought leader on foundational models, LLMs, agent systems, retrieval, and emerging research.
  • Establish and refine Arc's internal AI strategy, research direction, and technology roadmap.

Execution & Product Impact

  • Collaborate with engineering, product, design, and leadership to build and improve AI‑powered financial products.
  • Build evaluation frameworks, model‑improvement infrastructure, and production‑grade AI systems.
  • Rapidly prototype 0→1 and MVP experiences to unlock new value for Arc customers.
  • Ship projects frequently and consistently, with strong bias to action.

Technical Excellence

  • Architect and implement Generative AI applications using:
    • Agentic workflows
    • RAG systems
    • State‑of‑the‑art model leveraging techniques
  • Optimize for inference performance, token efficiency, latency, and cost.
  • Contribute to platform‑level systems in Python and Typescript.

What You Bring

Minimum Qualifications

  • 8+ years of engineering experience, including 1+ years building AI‑based applications.
  • Advanced degree in Computer Science or related field; Masters/PhD preferred
  • Strong background in Generative AI, LLMs, and modern applied AI toolchains.
  • Demonstrated success building agentic systems, RAG architectures, or state‑of‑the‑art model integrations.
  • Experience building evaluation pipelines for foundational‑model applications.
  • Strong software engineering fundamentals.
  • Proven ability to independently drive 0→1, MVP development, and rapid prototyping.

Preferred Experience

  • Startup experience, ideally combined with exposure to 1‑2 mid‑size or large organizations.
  • Fintech or B2B product experience.
  • Applied AI experience including infra, model improvement loops, and optimization.
  • Python, Typescript, model performance tuning, and workflow automation.

Why Join Arc Now?

  • Category creation: You'll build the first AI platform for business cash business management.
  • Massive market: Banking + treasury + AI automation is a multi‑trillion‑dollar opportunity.
  • PMF already secured: Arc has elite customers, strong economics, and hyper‑growth.
  • High impact: Staff engineers here are foundational—this role moves the roadmap.
  • Lean, elite team: Work with exceptional builders; every engineer is high‑leverage.

Requirements

  • 8+ years of engineering experience, including 1+ years building AI-based applications.
  • Strong background in Generative AI, LLMs, and modern applied AI toolchains.
  • Demonstrated success building agentic systems, RAG architectures, or state-of-the-art model integrations.
  • Experience building evaluation pipelines for foundational-model applications.
  • Strong software engineering fundamentals.
  • Proven ability to independently drive 0→1, MVP development, and rapid prototyping.

Responsibilities

  • Drive Arc's most critical AI initiatives end-to-end in a cross-functional environment.
  • Serve as a company-wide thought leader on foundational models, LLMs, agent systems, retrieval, and emerging research.
  • Establish and refine Arc's internal AI strategy, research direction, and technology roadmap.
  • Collaborate with engineering, product, design, and leadership to build and improve AI-powered financial products.
  • Build evaluation frameworks, model-improvement infrastructure, and production-grade AI systems.
  • Rapidly prototype 0→1 and MVP experiences to unlock new value for Arc customers.
  • Ship projects frequently and consistently, with strong bias to action.
  • Architect and implement Generative AI applications using: Agentic workflows, RAG systems, State-of-the-art model leveraging techniques.
  • Optimize for inference performance, token efficiency, latency, and cost.
  • Contribute to platform-level systems in Python and Typescript.

Skills

AIAgentic workflowsGenerative AILLMsPythonRAG systemsTypescript

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