Member of Technical Staff (AI Engineering)

San Francisco

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

Job Responsibilities:

  1. Engineer voice agents using our proprietary voice agent framework
  2. Maintain and develop our voice agent framework
  3. Enhance and improve our text and email agents
  4. Develop custom performance and quality evaluations for our agents

Minimum Qualifications:

  1. At least 2 years of full time professional, non-internship experience in fullstack, backend, or AI engineering
  2. Experience with backend development (Python)
  3. Experience integrating language models into AI applications

Preferred Qualifications:

  1. Experience in FinTech, Risk Management, or Compliance is beneficial but not mandatory
  2. Bonus points if you are experienced with voice frameworks (e.g. LiveKit) and are able to clearly articulate the differences between model and geographic latency
  3. Bonus points if you are able to name at least 3 Text-to-Speech providers, understand the differences between the various TTS providers, are able to stack rank them in terms of quality and performance, and understand the nuances of each model
  4. Bonus points if you have worked with semantic VAD or experimented with advanced noise cancelling technologies.
  5. Bonus points if you were an ex-founder

Indicative Salary Range: $150,000 to $400,000

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