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ZumaZuma

Staff Engineer (Agentic AI & Data)

Staff Engineer architects scalable agentic AI systems for property management platform, integrating LLMs to automate workflows. Requires hands-on expertise in agentic frameworks, React/Python/Node.js, and leading AI feature development in startup environment.

About the job

Responsibilities

  • Working closely with our product team to translate customer needs into technical solutions
  • Creating intelligent configuration interfaces that allow our AI to adapt to customer needs
  • Designing and implementing integration frameworks connecting our AI with customer systems
  • Establishing modern engineering practices and infrastructure for an AI-first product
  • Implementing robust analytics to measure and improve our AI's effectiveness
  • Leading the development of innovative features that push the boundaries of AI in real estate
  • Mentoring engineers and elevating the team's capabilities with LLM technologies

Requirements

  • Strong people leadership experience and bias for action
  • Must have hands-on experience in architecting, designing and implementing agentic AI systems
  • Very strong experience in architecting and implementing scalable agentic systems
  • Hands-on experience using at least one agentic framework and familiarity with other agentic frameworks
  • Hands-on experience using cutting edge LLM, fine-tuning LLM and integrating them in production grade software used by real users
  • Proven track record in fast-paced startup environments and collaborating with global teams
  • Must have expertise in React and Python or Node.js
  • Knowledge of ML, AI, LLMs

Benefits

  • Great health insurance, dental, and vision
  • Gym and workspace stipends
  • Computer and workspace enhancements
  • Unlimited PTO
  • Company off-sites with the team
  • Opportunity to play a critical role in building the foundations of the company and Engineering culture

Skills

LLMs, Agentic AI, React, Python, Node.js, Fine-Tuning, Machine Learning, AI, Analytics Infrastructure, Integration Frameworks

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