Full-Stack Software Engineer

Zyphra; Palo Alto (CA); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Comprehensive medical, dental, vision, and FSA plans

Competitive compensation and 401(k)

Relocation and immigration support

On-site meals

In-person team with high-energy environment

Job summary

A cutting-edge AI company in Palo Alto is seeking a Fullstack Engineer to work on innovative agent systems. The ideal candidate will contribute to complex projects involving web navigation and filesystem interactions. Responsibilities include design, backend development, and integrating advanced AI models. This role offers competitive compensation and a dynamic work environment.

Qualifications

• Proficiency in Python and understanding of end-to-end applications.
• Experience with production workloads and web interfaces.
• Ability to work across the whole stack from web interfaces to databases.

Responsibilities

• Design and implement various agentic system designs.
• Build search and retrieval pipelines for large-scale data.
• Integrate LLMs and vision models for decision-making.

Skills

Proficiency in Python

Experience in SaaS environments

Experience developing browser extensions

Understanding of LLMs

Excellent communication skills

Tools

Puppeteer

Playwright

Job description

Zyphra is an artificial intelligence company based in Palo Alto, California.

Role

As a Fullstack 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 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, and other environments
• 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
• Engineering secure virtualized runtimes and backend services for agent execution
• What matters most is your drive to build production‑grade software
• We value velocity and curiosity, especially in fast‑moving and ambiguous environments

Requirements

• Proficiency in Python and a deep understanding of building and debugging complex end‑to‑end applications
• Experience working with SaaS environments 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

Bonus Qualifications

• 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
• Machine Learning experience as double bonus

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)
• Relocation and immigration support on a case‑by‑case basis
• On‑site meals prepared by a dedicated culinary team; Thursday Happy Hours
• In‑person team in Palo Alto, CA, with a collaborative, high‑energy environment

Seniority level

• Entry level

Employment type

• Full‑time

Job function

• Engineering and Information Technology

Industries

• Technology, Information and Internet