Location: Brooklyn, NY
Employment Type: Full-time
Work Arrangement: On-site (Candidates must be living in New York within 2 months of hire)
Our client, Structify, is an early-stage AI company backed by leading investors including Bain Capital and 8VC. Their mission is to be "every enterprise's data team" by building a platform that ingests internal and external information, allowing non-technical users to query their data and get deep insights using AI agents. This goes well beyond simple RAG (Retrieval-Augmented Generation) solutions.
They are seeking a Generalist Engineer with a strong background in systems and algorithms to work across the full stack. This person should be excited to quickly learn and adapt, taking ownership of complex technical challenges in a startup environment.
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].
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