Senior Staff Engineer, AI

2 days ago

RingkøbingSkjern Municipality Central Region, Denmark Arc Full time $134,000 - $243,000 per year

Location:
Open to remote, with strong preference for onsite in
**NYC or San Francisco

Type:**
Full-time (FTE)

About Arc
Arc is the future of startup finance.

Arc helps startups grow through its integrated cash management and capital markets platform. With Arc, companies don't need to choose between safety, liquidity, and returns — they get all three in one software platform.

Startups can access venture debt and working capital, deposit funds into FDIC insurance eligible accounts held at leading banks, and invest idle cash in insured cash sweeps ($5M FDIC insurance eligibility), Money Market Funds, and U.S. Treasury Bills that generate up to ~4.48% APY (as of 6/30/25).

Arc is reinventing startup financing through technology — and AI is at the center of our next chapter.

Position Overview
We are seeking a
Senior Staff Engineer, AI
to join Arc's engineering organization as a key technical leader. This is a
foundational AI role
, responsible for driving the research direction, execution, and delivery of Arc's AI-powered products. You will work directly with the founding team from the spin-out)

What You'll Do
Leadership & Strategy

  • Drive Arc's most critical AI initiatives end-to-end in a cross-functional environment.
  • Serve as a company-wide thought leader on foundational models, LLMs, agent systems, retrieval, and emerging research.
  • Establish and refine Arc's internal AI strategy, research direction, and technology roadmap.

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

  • 8+ 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.

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