AI Engineer

Bison; San Francisco (CA); Presencial; USD 180.000 - 240.000; Tempo integral

Benefícios oferecidos por esta vaga

Medical, dental, vision coverage

401(k) plan

Relocation support

Snacks and meals in office

Unlimited PTO

Resumo da vaga

Zyphra, an artificial intelligence company based in San Francisco, is seeking an AI Engineer to help build next-generation agentic systems that autonomously navigate the web, interact with filesystems, and complete complex user tasks across desktop and browser environments.

You will work on frontend interfaces, secure sandboxes, large-scale document search, and integration of LLMs and vision models, contributing to production-grade ML systems with a bias toward speed and curiosity.

Qualificações

• Proficiency in Python and building ML-driven apps.
• Experience with Windows/macOS APIs for screen reading and file interaction.
• Experience developing browser extensions or automation tools with browser control.
• Understanding of LLMs, prompting, and orchestration for multi-step reasoning.
• Ability to work across the ML stack from model to serving infrastructure.
• Experience designing or working with secure/virtualized execution environments.
• Excellent communication across product, research, and engineering teams.

Responsabilidades

• Design agentic system that interacts with browsers, OS, and filesystems.
• Build search and retrieval pipelines for large-scale data.
• Integrate LLMs, vision models, RL, and scaffolding for autonomous decisions.
• Engineer secure virtualized runtimes and backend services.
• Deliver production-grade ML systems with fast iteration and collaboration.

Conhecimentos

Python

Desktop OS APIs

Browser automation

LLMs & prompts

Full ML stack

Secure execution envs

UI/Agent design

Model fine-tuning

Ferramentas

Puppeteer

Playwright

Descrição da vaga

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