Unconventionalinc
Member of Technical Staff - Cloud Infrastructure
Mountain View, CA or Greater Seattle Area. Posted 17 days ago
The role
You will serve as the founding engineer for the internal enterprise productivity suite. You will architect and develop bespoke applications from the ground up using Agentic AI to accelerate business operations.
What you will do
- Architect, build, and maintain bespoke internal Enterprise Productivity applications powered by Agentic AI.
- Take full lifecycle ownership of applications using the Databricks Apps platform.
- Define what needs to be built by collaborating with internal stakeholders.
- Rapidly prototype, collect feedback, and prioritize the roadmap.
- Evaluate the AI ecosystem and drive build vs. buy decisions.
Required qualifications
- BS in Computer Science or equivalent practical experience.
- 5+ years of full-stack software engineering experience across both frontend and backend development.
- Strong programming proficiency in Python and/or modern JavaScript ecosystems (Node.js, React, Next.js, etc.).
- Hands-on experience building agentic applications, including LLM orchestration (e.g., LangChain or similar frameworks).
- Solid database fundamentals, with practical experience using both standard SQL databases and Vector databases.
- Experience with DevOps practices, CI/CD, and taking end-to-end operational ownership of application deployment.
- An AI-native development workflow, comfortable utilizing AI coding assistants like Cursor, Claude Code, or Codex.
- Provide demoable personal or past projects showcasing relevant full-stack or AI-driven builds.
Nice to have
- Experience in enterprise application development, particularly building internal productivity or operations tools.
- Deep understanding of application security, including implementing authentication protocols (e.g., SSO, OAuth, SAML) and robust access controls.
- Proven expertise in designing and deploying robust RAG (Retrieval-Augmented Generation) pipelines and utilizing advanced prompt engineering techniques.
- Hands-on experience deploying, scaling, and maintaining applications in major cloud environments (e.g., AWS, GCP, Azure).
- Familiarity with machine learning or silicon engineering.
Benefits
- Competitive salary
- Significant equity
- Best-in-class health benefits
- 401k matching
- Truly unlimited PTO
- Complimentary meals when working from our Palo Alto office
About the company
Unconventional is rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient by exploiting the rich physics of semiconductors.