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Staff Software Engineer (Agentic AI & Data)

Location: Remote (San Francisco Bay Area preferred)

Employment Type: Full-time

Work Arrangement: Remote (US - West Coast hours preferred)

About the Role

We are pioneering the future of agentic AI to transform the property management industry, a market worth over $200 billion. Our platform doesn't just support human workflows—it executes them autonomously through AI agents, reimagining what work feels like when done side-by-side with intelligent systems. We’re backed by world-renowned investors, including Andreessen Horowitz, and are scaling rapidly.

As a Staff Software Engineer, you will be a cornerstone of our engineering organization, helping to define how humans collaborate with intelligent systems. This is a pivotal role where you'll lead critical system rewrites, architect scalable foundations for our AI platform, and establish the technical standards that will shape our engineering culture for years to come.

What You'll Do

  • Lead critical system rewrites to build a highly scalable architecture.
  • Work closely with the product team to translate customer needs into technical solutions.
  • Architect and build advanced systems for our LLM-based AI leasing agent.
  • Create intelligent configuration interfaces that allow our AI to adapt to customer needs.
  • Design and implement integration frameworks to connect our AI with customer systems.
  • Establish modern engineering practices and infrastructure for an AI-first product.
  • Implement robust analytics to measure and improve our AI's effectiveness.
  • Lead the development of innovative features that push the boundaries of AI in real estate.
  • Mentor engineers and elevate the team's capabilities with LLM technologies.
  • 5+ years of experience as a full-stack software engineer.
  • Experience working with LLMs or AI systems at scale is highly valuable.
  • Strong expertise in both frontend (React, TypeScript) and backend (Node.js) development.
  • Proven track record of building scalable, production-grade systems.
  • Strong understanding of API development, system architecture, and cloud infrastructure.
  • Comfortable with ambiguity and capable of balancing technical innovation with pragmatic delivery.
  • Willingness to interact directly with customers to understand their needs.
  • This is a remote role, with a strong preference for candidates in the San Francisco Bay Area who can work West Coast hours.
  • Salary: $200k - $230k
  • Equity: Competitive equity in a venture-backed company with strong traction.
  • Visa sponsorship is not available.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].

Average salary estimate

$215000 / YEARLY (est.)
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$200000K
$230000K

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Full-time, remote
DATE POSTED
September 12, 2025
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