Krew
Member of Technical Staff (Fullstack Engineering)
Krew, San Francisco, California, United States, 94199
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 backend 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 Figma and Next JS
Design and build backend APIs and services that power our AI agents and operations tooling
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
#J-18808-Ljbffr
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 backend 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 Figma and Next JS
Design and build backend APIs and services that power our AI agents and operations tooling
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
#J-18808-Ljbffr