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.
