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Zyphra

Open-source AI company building multimodal agents

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • Proficiency in Python and a deep understanding of building and debugging complex machine-learning-driven applications.
  • Experience working with desktop operating systems, including Windows and macOS, and APIs for screen reading, file interaction, and accessibility frameworks.
  • Experience developing browser extensions or automation tools with fine-grained control over the browser, including mouse, tabs, and the document object model.
  • Understanding of large language models, prompting techniques, and orchestration frameworks for multi-step reasoning.
  • Ability to work across the full machine-learning stack, from model integration to serving infrastructure.
  • Experience designing or working with secure and virtualized execution environments.
  • Excellent communication and collaboration skills across product, research, and engineering teams.

Responsibilities

  • Design and implement an agentic system capable of interacting with browsers, operating systems, and enterprise filesystems.
  • Build search and retrieval pipelines across large-scale structured and unstructured data.
  • Integrate large language models, vision models, reinforcement learning, and scaffolding frameworks for autonomous, multi-step decision-making.
  • Engineer secure virtualized runtimes and backend services for agent execution.

Desired Qualifications

  • Experience building or integrating retrieval-augmented generation systems.
  • Experience working with enterprise security and compliance frameworks such as SOC 2.
  • Familiarity with vector databases and large-scale document indexing.
  • Knowledge of web automation tools and headless browser environments such as Puppeteer and Playwright.
  • Understanding of sandboxed or containerized compute environments with strict access controls.
  • Comfort designing user-facing agentic workflows and reasoning systems that span multiple modalities, including text, vision, and actions.
  • Experience using and fine-tuning models for screen reading, optical character recognition, or user-interface understanding.
  • Background in human-computer interaction or interest in building intuitive agent interfaces that extend human capabilities.

About the Company

Zyphra

Open-source AI company building multimodal agents

Zyphra Technologies builds open-source, open-science AI focused on multimodal models and efficient inference across devices. It develops autonomous agent platforms for enterprises, with Maia as a multimodal general agent prototype that combines neural architectures, long-term memory, reinforcement learning, and continual learning for text and audio. The company also releases open projects like Zamba (a cost-efficient foundation model), Zamba2-2.7B (a fast, small language model), and Zyda (a 1.3 trillion token training dataset) to support research and development. Their goal is to enable personalized AI that runs offline across diverse hardware while sharing transparent research resources and strengthening AI silicon performance.

Company size
51-200
Company stage
Series B
Total funding
$621.4M
Headquarters
San Francisco, CA
Founded
2019

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