About this role
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
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
Tech stack
Python
About Zyphra Technologies
Zyphra Technologies is hiring for the ai engineer role. NewJob aggregates active openings directly from Zyphra Technologies's applicant tracking system, so this listing is current.
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