Applied AI Engineer

Arc helps startups grow through integrated cash management and capital markets platform, providing venture debt, working capital, and investment solutions.
Machine Learning
Mid-Level Software Engineer
Hybrid
2+ years of experience
AI · Finance

Description For Applied AI Engineer

Arc is revolutionizing startup finance through its integrated cash management and capital markets platform. As a venture-backed company funded by prestigious investors like Left Lane, Y Combinator, NfX, Bain Capital, and Clocktower, Arc enables startups to access venture debt, working capital, and smart investment solutions with FDIC insurance eligibility up to $5M.

We're seeking our first AI Engineer to join our founding team, which includes alumni from Stanford, Ramp, Notion, LinkedIn, Affirm, Fundbox, Meta, Tesla, Brex, and Bolt. This role offers a unique opportunity to shape the future of financial technology by developing cutting-edge AI solutions.

As our AI Engineer, you'll be instrumental in driving AI projects from conception to deployment, working cross-functionally with experienced engineers, product managers, and designers. You'll be expected to be a thought leader in AI developments, following industry trends and latest research papers, while building and evaluating generative AI applications.

The ideal candidate brings strong academic credentials in Computer Science with AI/ML focus, coupled with practical industry experience in building AI applications. You'll have the opportunity to work in a hybrid setting from either our San Francisco or NYC office, with comprehensive benefits including unlimited PTO and full healthcare coverage.

Join us in transforming how startups access and manage their finances through innovative AI-powered solutions.

Last updated 2 months ago

Responsibilities For Applied AI Engineer

  • Drive AI projects end to end working in a cross functional setting
  • Be a thought leader in the company in latest developments in the AI field
  • Follow industry trends and latest papers
  • Collaborate with engineers, product and design to continuously evolve and improve AI powered products

Requirements For Applied AI Engineer

  • BS/MS in Computer Science or a related field with a focus on AI/ML
  • 2+ years of industry experience in AI with demonstrated results
  • Experience building Generative AI applications, specifically Agentic flows, RAG
  • Experience building evaluation frameworks for AI applications that leverage foundational models
  • Strong fundamentals in Software Engineering
  • Ability to drive 0-1 / MVP projects, rapid prototyping

Benefits For Applied AI Engineer

Medical Insurance
Dental Insurance
Vision Insurance
  • Unlimited PTO
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Hybrid work from office in San Francisco / NYC

Interested in this job?

Jobs Related To Arc Applied AI Engineer

AI/ML Engineer II

AI/ML Engineer II position at JPMorgan Chase focusing on AWS Cloud, Databricks ML, and Gen AI platform development within Consumer & Community Banking division.

Software Engineer II, Customer eXperience Impressions (CXI)

Software Engineer position at Amazon's CXI team developing ML systems to detect and fix shopping experience issues, offering competitive pay and benefits.

Software Development Engineer II - DSO, Demand Science Optimization (DSO)

Software Development Engineer II position at Amazon's DSO team, focusing on ML-driven demand forecasting and supply management for Amazon Devices.

Software Development Engineer, Predictive Targeting

Software Development Engineer role at Amazon focusing on machine learning and predictive analytics for customer targeting systems

Machine Learning Engineer, Amazon One

Machine Learning Engineer position at Amazon AWS, focusing on biometric identity solutions, deep learning, and computer vision, offering competitive salary and benefits.