# Full-Stack Software Engineer at Zyphra

Full-Stack Software Engineer at Zyphra in San Francisco. On-site, full-time. Posted March 17, 2026.

- Company: Zyphra
- Location: San Francisco
- Workplace: On-site
- Job type: Full-time
- Posted: 2026-03-17
- Apply: https://jobs.ashbyhq.com/zyphra/578a092e-9b9a-4484-adf8-3b4707478588/application
- Source: https://jobmagic.ai/jobs/full-stack-software-engineer-zyphra-c10s9t

## 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

## Description

### **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