Senior Full Stack Engineer – AI

Role Overview

• Full ownership of their GCP/Vertex AI infrastructure, APIs, and frontend
• Architecture decisions that will scale from dozens to thousands of users
• Production reliability, deployment pipelines, and technical debt management
• Security, compliance, and data integrity across all systems
• Define deliverables for specialist contractors (frontend, DevOps, ML)
• Review PRs from both humans and AI-generated code
• Build and maintain internal agentic workflows—treating AI agents as asynchronous team members
• Document patterns so contractors and agents can work autonomously against clear specs
• Pioneer their "1 dev × N agents" operating model
• Build reusable prompts, agent configs, and automation scaffolding
• Establish workflows where AI handles first drafts, boilerplate, tests, and docs—you handle architecture, edge cases, and judgment calls
• Continuously evaluate new AI dev tools and integrate what works
• Audit and document the current stack; identify tech debt and quick wins
• Establish CI/CD and deployment workflows optimized for rapid iteration
• Ship at least one customer-facing feature end-to-end
• Build the contractor onboarding playbook (specs, PR standards, async communication)
• Implement at least one agentic workflow that measurably accelerates development

Requirements

• 5+ years building production systems across frontend and backend
• Strong in TypeScript/JavaScript and Python
• Hands-on experience with GCP (Vertex AI, Cloud Run, BigQuery) or equivalent
• Production experience integrating LLM APIs (Anthropic, OpenAI, Google)
• Comfortable with PostgreSQL, Redis, and event-driven patterns
• Experience working with or managing contractors/freelancers
• Ability to write clear specs that enable autonomous work
• Comfort giving direct feedback on code quality and deliverables
• No ego about where good code comes from—human or AI

Tech Stack

• BigQuery
• Cloud
• Google Cloud Platform
• JavaScript
• Postgres
• Python
• Redis
• TypeScript