Zyphra
Full-Stack Software Engineer
3mo ago
USApython
Develop and maintain full-stack software solutions integrating agentic systems, language and vision models, and complex data retrieval for autonomous task completion.
Responsibilities
- 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.
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
- 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
Conditions
- 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
Other
- 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
- 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