Applied AI Engineer

Location: Prefer Onsite NYC or SF. Open to exceptional Remote candidatesEmployment Type: Full-TimeHiring Manager: Andrew Rosen, Head of EngineeringAbout ArcArc 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.Technical ExcellenceArchitect and implement Generative AI applications using:Agentic workflowsRAG systemsState-of-the-art model leveraging techniquesOptimize for inference performance, token efficiency, latency, and cost.Contribute to platform-level systems in Python and Typescript.What You BringMinimum Qualifications5+ years of engineering experience, including 1+ years building AI-based applications.Advanced degree in Computer Science or related field; Masters/PhD preferredStrong 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 ExperienceStartup 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.