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

The Role

As a Full-Stack Software 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 (end-to-end) that can autonomously navigate the web, interact with filesystems, and complete complex user tasks. This role spans agentic orchestration, frontend interfaces, secure sandboxing environments, large-scale document search and retrieval, and language/vision model integration.

You’ll Work Across

Design and implementation of different agentic system designs capable of interacting with browsers, operating systems, enterprise filesystems, collaboration tools, etc.

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

Build the backend layer for RAG systems and other information context management systems required for agents to operate

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

What matters most is your drive to build production-grade software

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 end-to-end applications

Experience working with SaaS environment and production workloads, web interfaces, databases, search engines, and queuing systems

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 whole stack from web interfaces to control plane and data infrastructure like queuing systems, databases, and search indexes

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 (i.e., SOC 2, GDPR, etc.)

Familiarity with embeddings, vector databases and large-scale document indexing

Knowledge of web automation tools and headless browser environments (i.e., 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

Machine Learning experience as a double bonus

Why Work at Zyphra

Our research methodology is grounded in methodical, step-by-step approaches to 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