Full-Stack Software Engineer

Zyphra Technologies Inc

$120K — $160K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Proficient in Python with experience in end-to-end application development and debugging.
  • Background in SaaS environments with knowledge of production workloads, web interfaces, databases, and search engines.
  • Experience creating browser extensions or automation tools that manipulate browser functionality.
  • Familiar with LLMs, prompting techniques, and orchestrating systems for multi-step reasoning.
  • Ability to manage full tech stack from user interface to backend data systems.
  • Experience with secure and virtualized execution environments.
  • Strong communication skills for effective collaboration with cross-functional teams.

Responsibilities

  • Design and implement various agentic systems that interface with browsers and operating systems.
  • Develop search and retrieval systems for large-scale structured and unstructured data.
  • Construct backend infrastructure necessary for retrieval-augmented generation (RAG) systems and context management.
  • Integrate large language models and vision models to facilitate autonomous decision-making.
  • Engineer secure virtualized environments for agent execution.
  • Build and maintain production-grade software in a fast-paced environment.
  • Foster a culture of innovation and teamwork to encourage new ideas.

Benefits

  • Comprehensive medical, dental, vision, and FSA plans.
  • Competitive compensation and 401(k) plan.
  • Relocation and immigration assistance on a case-by-case basis.
  • On-site meals provided by a culinary team, plus Thursday Happy Hours.
  • Collaborative and energetic office culture in Palo Alto, CA.
Full Job Description
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


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

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