Fullstack Engineer - Intelligent Agents & Systems

Zyphra • Palo Alto, CA

98d

About The Position

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. We encourage all candidates to apply even if they don't gather all the requirements.

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

Nice To Haves

• 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

Responsibilities

• Design and implementation of different agentic system designs capable of interacting with browsers, operating systems, enterprise filesystems, collaborations tools among others
• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees