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auxi


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AI Engineering (remote)

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Recruitment began on March 4, 2026
and the job listing Expires on April 20, 2026
Boston, MA Full-time, Internship
Apply Now

Company Description
auxi is a company focused on building the modern productivity suite for knowledge workers. We aim to simplify and streamline mundane tasks, such as formatting slides, aligning shapes, annotating images, and reshaping training data. Our goal is to enable smart people to focus on what matters most. Visit our website at www.auxi.ai to learn more.

Role Description:

Location: Remote (Boston-based team)

About the Role

auxi is seeking ambitious, technically strong AI Software Engineering to join our fast-moving engineering team. This position is tailored toward Master’s students, PhD candidates, and recent graduates who want hands-on experience building production-grade AI products used by knowledge workers worldwide.

You will work directly with our technical team to design, build, and deploy new AI-powered features and backend systems. As an early member of a rapidly growing startup, you’ll have the opportunity to take ownership of meaningful projects, experiment with new technologies, and contribute across the full engineering lifecycle.

This role begins immediately. Particularly looking for those that have recently graduated or with a graduation date of May or December 2026.

International Students are allowed!

Responsibilities

  • Contribute to computer vision, machine learning, and AI automation projects from design to deployment.
  • Develop, test, maintain, and improve production-quality software and backend systems.
  • Own project deliverables, timelines, and documentation with minimal oversight.
  • Collaborate closely with the engineering team to share ideas, request support, and drive continuous improvement.
  • Participate in rapid prototyping, experimentation, and exploration of emerging technologies.
  • Fine tune LLM models.
  • Create custom agents with specific workflows
Symplicity #315092Symplicity logo
Apply Now

Contact & Location

Phone
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Email
mcs@fas.harvard.edu
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