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
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 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 Do
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
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.
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.