AI Product Engineer (Full Stack)

Ovii's Interpretation of the Role

We are looking for an AI Product Engineer who will design, build, and ship a full‑stack AI‑driven web product from scratch. You will own end‑to‑end architecture, integrate LLM models, and ensure the platform is fast, reliable, and scalable while collaborating directly with product leadership.

Role Snapshot

• Full‑stack product development
• AI/LLM integration
• End‑to‑end architecture ownership
• Rapid feature delivery
• Scalable backend services
• Production reliability
• Collaboration with leadership

Must-Have Requirements

• Full‑stack web development (React/Next.js, TypeScript, Node.js)
• Supabase or Firebase backend platform
• PostgreSQL database
• AI model integration (Claude, OpenAI, Gemini)
• REST API design and implementation
• Authentication and role‑based permission systems
• Prompt engineering, guardrails, hallucination handling
• full‑stack development
• shipping real production products
• AI/LLM integration

Nice-to-Have Signals

• AI agents or workflow‑automation experience
• Vector databases and RAG workflow familiarity
• Startup or MVP‑to‑production background
• Exposure to logistics, aviation, operational platforms, or membership systems
• AI agents
• workflow automation
• startup/MVP experience

Work Setup

• Location: United States
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: United States
• Timezone: U.S. Business Hours
• Employment type: Full-Time
• Shift: U.S. Business Hours

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Salary range
• Relocation
• Notice period
• Coding test
• Portfolio
• GitHub

What You'll Likely Work On

• Build and launch a production‑ready web application from the ground up
• Design and own scalable, maintainable system architecture for both frontend and backend
• Integrate LLM models and create AI‑powered workflows with prompt handling, guardrails, and hallucination mitigation
• Develop backend APIs, database schemas, authentication, and role‑based permission systems
• Optimize performance, reliability, and uptime while debugging production issues
• Iterate quickly based on product feedback, user behavior, and operational needs
• Partner directly with product leadership to shape technical direction

Good Fit If You Have

• Experience building AI agents or workflow‑automation systems
• Familiarity with vector databases and RAG pipelines
• Background in taking startup or MVP projects to production
• Exposure to logistics, aviation, or membership platforms
• Comfort with cloud deployments (Vercel, Docker)