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

Software Engineer- AI/ML, AWS Neuron Machine Learning Distributed Training, ML Accuracy

AWS Neuron seeks ML Engineer to develop distributed training solutions for large language models using PyTorch, TensorFlow, and JAX on custom silicon.

Software Engineer- AI/ML, AWS Neuron

AWS Neuron ML Engineer role focusing on distributed training and optimization of large language models using AWS Inferentia and Trainium accelerators.

Software Engineer (Robotics)

Software Engineer position at Meta focusing on robotics and AI, implementing state-of-the-art algorithms and models for robotic systems.

Content Engineer, GenAI

Content Engineer position at Meta focusing on GenAI development, combining AI expertise with content strategy to build and improve AI-driven products and features.

Software Engineer - Research Infrastructure

Software Engineer position at Meta focusing on building research infrastructure for AR/VR and AI projects, requiring 3+ years of experience and expertise in ML infrastructure.