Applied AI Engineer

Location: Prefer Onsite NYC or SF. Open to exceptional Remote candidates
Employment Type: Full-Time
Hiring Manager: Andrew Rosen, Head of Engineering

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.

We are seeking a Applied AI Engineer to join Arc’s engineering organization. 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.

• 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.

• 5+ 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.

• 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.

• 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.