Full Stack Engineer

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 Description:

We’re looking for a (Human) Member of Technical Staff specializing in full-stack engineering. We’re seeking sharp engineers who value high-quality code, thrive in collaborative teams, and are excited by rapid innovation.

Job Responsibilities:

• Design and build frontend interfaces using Next JS

• Design and build backend APIs and services that power our AI agents and operations tooling using Python (FastAPI)

• Ship user-facing features end-to-end (from data model to API to UI)

• Improve reliability, observability, and performance across the stack

• Collaborate closely with design, ops, and risk/compliance to ship safe, compliant features

• Write tests, enforce code quality, and participate in design/review discussions

• Help evolve our engineering standards and product development process

Minimum Qualifications:

• At least 2 years of full time professional, non-internship experience in full-stack engineering

• Experience with backend development (Python, Go)

• Strong code quality habits (testing, reviews, docs) and a product mindset

Preferred Qualifications:

• Experience in FinTech, Risk Management, or Compliance is beneficial but not mandatory

• Experience with LLM/AI-powered products, event-driven systems, or data pipelines

• Security, privacy, and auditing best practices

• Bonus points if you were an ex-founder