AI Engineer

ZYPHRA IS AN ARTIFICIAL INTELLIGENCE COMPANY BASED IN SAN FRANCISCO, CALIFORNIA. THE ROLE: As a AI 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 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 an agentic system capable of interacting with browsers, operating systems, and enterprise filesystems - Building search and retrieval pipelines across large-scale structured and unstructured data - 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 ML systems that push the boundary of what software agents can do - 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 ML-driven applications - Experience working with desktop operating systems (Windows and macOS), including APIs for screen reading, file interaction, and accessibility frameworks - 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 full ML stack, from model integration to serving infrastructure - 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 (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 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) 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