Senior Full Stack Engineer – AI
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Job Description
Senior Full Stack Engineer responsible for GCP and Vertex AI infrastructure with full ownership of the stack. Contributing to architecture decisions and producing AI-enhanced workflows for a mentoring platform.
Responsibilities:
- 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
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