zyphra

AI Engineer

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Older posting · still listed ·

  • onsite
  • FullTime
  • Product
  • San Francisco
Work arrangement
onsite
Employment
FullTime
Stated compensation
Not specified
Stated sponsorship
Not stated
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Remote policy
onsite
“Provider workplace type: onsite”
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Employment type
FullTime
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Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
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Security clearance
Not mentioned
Timezone / hours
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Citizenship requirement
Not mentioned
Minimum experience (years)
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Original job description

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Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a AI Engineer, you will be a core contributor to Zyphra’s Agentic Systems and Interaction projects. You will be at the forefront of building a next-generation desktop and browser-based agent that can autonomously navigate the web, interact with filesystems, and complete complex user tasks. This role spans frontend interfaces, secure sandboxing environments, large-scale document search and retrieval, and language/vision model integration.
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You’ll Work Across: Design and implementation of an agentic system capable of interacting with browsers, operating systems, and enterprise filesystems Building search and retrieval pipelines across large-scale structured and unstructured data Integrating LLMs, vision models, reinforcement learning, and scaffolding frameworks for autonomous, multi-step decision-making Engineering secure virtualized runtimes and backend services for agent execution What matters most is your drive to build production-grade ML systems that push the boundary of what software agents can do We value velocity and curiosity, especially in fast-moving and ambiguous environments What We're Looking For / Requirements: Proficiency in Python and a deep understanding of building and debugging complex ML-driven applications Experience working with desktop operating systems (Windows and macOS), including APIs for screen reading, file interaction, and accessibility frameworks Experience developing browser extensions or automation tools with fine-grained control over the browser (mouse, tabs, DOM) Understanding of LLMs, prompting techniques, and orchestration frameworks for multi-step reasoning Ability to work across the full ML 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 Qualifications / Additional Skills: Experience building or integrating retrieval-augmented generation (RAG) systems Experience working with enterprise security and compliance frameworks (e.g., SOC 2) Familiarity with vector databases and large-scale document indexing Knowledge of web automation tools and headless browser environments (e.g, Puppeteer, 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 (text, vision, actions) Experience using and fine-tuning models for screen reading, OCR, or UI understanding Background in HCI or interest in building intuitive agent interfaces that extend human capabilities Why Work at Zyphra: Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued We strongly value new and crazy ideas and are very willing to bet big on new ideas We move as quickly as we can; we aim to minimize the bar to impact as low as possible We all enjoy what we do and love discussing AI Benefits and Perks: Comprehensive medical, dental, vision, and FSA plans Competitive compensation and 401(k) plan Relocation and immigration support on a case-by-case basis In-office snacks and meals provided Unlimited PTO and company holidays In-person team in San Francisco with a collaborative, high-energy environment
Original formatting and links

Zyphra is an artificial intelligence company based in San Francisco, California.

The Role:

As a AI Engineer, you will be a core contributor to Zyphra’s Agentic Systems and Interaction projects. You will be at the forefront of building a next-generation desktop and browser-based agent that can autonomously navigate the web, interact with filesystems, and complete complex user tasks. This role spans frontend interfaces, secure sandboxing environments, large-scale document search and retrieval, and language/vision model integration.

You’ll Work Across:

  • Design and implementation of an agentic system capable of interacting with browsers, operating systems, and enterprise filesystems

  • Building search and retrieval pipelines across large-scale structured and unstructured data

  • Integrating LLMs, vision models, reinforcement learning, and scaffolding frameworks for autonomous, multi-step decision-making

  • Engineering secure virtualized runtimes and backend services for agent execution

  • What matters most is your drive to build production-grade ML systems that push the boundary of what software agents can do

  • We value velocity and curiosity, especially in fast-moving and ambiguous environments

What We're Looking For / Requirements:

  • Proficiency in Python and a deep understanding of building and debugging complex ML-driven applications

  • Experience working with desktop operating systems (Windows and macOS), including APIs for screen reading, file interaction, and accessibility frameworks

  • Experience developing browser extensions or automation tools with fine-grained control over the browser (mouse, tabs, DOM)

  • Understanding of LLMs, prompting techniques, and orchestration frameworks for multi-step reasoning

  • Ability to work across the full ML 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

Qualifications / Additional Skills:

  • Experience building or integrating retrieval-augmented generation (RAG) systems

  • Experience working with enterprise security and compliance frameworks (e.g., SOC 2)

  • Familiarity with vector databases and large-scale document indexing

  • Knowledge of web automation tools and headless browser environments (e.g, Puppeteer, 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 (text, vision, actions)

  • Experience using and fine-tuning models for screen reading, OCR, or UI understanding

  • Background in HCI or interest in building intuitive agent interfaces that extend human capabilities

Why Work at Zyphra:

  • Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued

  • We strongly value new and crazy ideas and are very willing to bet big on new ideas

  • We move as quickly as we can; we aim to minimize the bar to impact as low as possible

  • We all enjoy what we do and love discussing AI

Benefits and Perks:

  • Comprehensive medical, dental, vision, and FSA plans

  • Competitive compensation and 401(k) plan

  • Relocation and immigration support on a case-by-case basis

  • In-office snacks and meals provided

  • Unlimited PTO and company holidays

  • In-person team in San Francisco with a collaborative, high-energy environment

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