Senior Full Stack Engineer – AI

PeopleConnect Staffing is seeking a Senior Full Stack Engineer – AI to join their client who is building an innovative AI platform that connects people based on shared experiences. The role involves full ownership of the technology stack, making architecture decisions, and integrating AI development tools to enhance productivity.

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 our 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
• You already use AI coding assistants daily—not experimentally, habitually
• You've built or experimented with agentic workflows (LangGraph, CrewAI, custom orchestration)
• You think in terms of 'what can I delegate to an agent?' before 'what do I need to build?'
• You're curious about prompt engineering, evals, and AI reliability—not just AI hype
• You've owned systems end-to-end, not just contributed to them
• You're comfortable making architecture decisions without a committee
• You know when to ship fast and when to slow down for quality
• You communicate clearly in writing—specs, PRs, async updates
• 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