Arc
Location
No Location
Employment Type Full time
Department Engineering
Compensation
$180K – $250K • Offers Equity • Offers Bonus
The total rewards package at Arc includes base salary, equity (stock options), and benefits. Our cash compensation and equity ranges are based on market data pulled from Pave. Offers are based on demonstrated experience, expertise, and performance in our interview process, as well as your geographic location and internal pay equity.
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 f2.ai 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.
Compensation Range: $180K - $250K
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Employment Type Full time
Department Engineering
Compensation
$180K – $250K • Offers Equity • Offers Bonus
The total rewards package at Arc includes base salary, equity (stock options), and benefits. Our cash compensation and equity ranges are based on market data pulled from Pave. Offers are based on demonstrated experience, expertise, and performance in our interview process, as well as your geographic location and internal pay equity.
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 f2.ai 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.
Compensation Range: $180K - $250K
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