Full-Stack Software Engineer

About the role

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