Full-Stack Software Engineer

Job Description Job 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