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.
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.

Requirements

5+ years of engineering experience
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.

Benefits

Equity (stock options)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

PythonTypescriptGenerative AILLMsAI-based applicationsevaluation frameworksmodel-improvement infrastructureinference performance optimizationtoken efficiencylatency optimization

Soft skills

collaborationbias to actionindependent driverapid prototypingproject shipping

Certifications

Masters in Computer SciencePhD in Computer Science