Why This Role Stands Out
This role offers an exciting opportunity to drive innovation in AI-powered financial wellness, working with a world-class team backed by prominent investors. You'll thrive here if you possess a strong background in AI engineering and backend development, eager to build and refine cutting-edge agents that positively impact millions of consumers. Apply now to be part of Krew's transformative mission and shape the future of credit servicing.
Quick Overview
Job Description
Krew is on a mission to transform credit-servicing with the industry’s most advanced AI credit-servicing agents.
We are backed by Long Journey Ventures (Arielle Zuckerberg, Pascal Levy-Garboua), and strategic angels including Ryan Hoover (Founder, Product Hunt), Charlie Songhurst (Board Member, Meta), and Michael Jones (Former Chair, Huntington Bank Ventures).
We are a talent dense team comprising of ex-Figure Robotics, Optiver, Artificial Analysis, Bain, the United Nations, UChicago, and Oxford engineers and researchers.
Our omnichannel agents are supporting >100,000 consumers on their pathways to financial wellness. And we're just getting started - our goal is to resolve more than $1 trillion in outstanding consumer delinquencies worldwide with an empathetic, human-centric approach to financial wellness.
Job Responsibilities:
Engineer text and email agents using our proprietary email agent framework
Maintain and develop our email agent framework
Develop custom performance and quality evaluations for our agents
Minimum Qualifications:
At least 2 years of full time professional, non-internship experience in fullstack, backend, or AI engineering
Experience with backend development (Python)
Experience integrating language models into AI applications
Preferred Qualifications:
Experience in FinTech, Risk Management, or Compliance is beneficial but not mandatory
Bonus points if you are experienced with agentic frameworks (e.g. LangGraph) and are able to clearly articulate the differences between model quality
Bonus points if you have experience fine-tuning models
Bonus points if you have experience building, using, or refining benchmarks
Bonus points if you were an ex-founder
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