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.
The RoleWe 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.
What You’ll DoExecution & Product ImpactCollaborate 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.
