AI Product Engineer (Full Stack)

Ovii's Interpretation of the Role

We need a hands‑on AI Product Engineer who can build end‑to‑end full‑stack applications, embed LLM models, and own the performance and reliability of a production‑ready AI‑powered platform.

Role Snapshot

• Full‑stack product development
• AI/LLM integration
• Own architecture & performance
• Build scalable backend services
• Collaborate with leadership
• Ship fast, iterate rapidly

Must-Have Requirements

• Full stack development
• Shipping production‑ready products
• AI/LLM integration
• API/backend system design
• System architecture
• Scalable product design
• Supabase/Firebase/PostgreSQL or similar backend platform
• Understanding AI limitations (hallucinations, prompt reliability)
• Strong debugging and problem‑solving ability
• Ability to work independently with high ownership
• full stack development
• shipping production products

Nice-to-Have Signals

• Building AI agents or workflow automation systems
• SaaS platform experience
• Familiarity with Claude/OpenAI APIs, vector databases, RAG workflows
• Startup or MVP‑to‑production experience
• React / Next.js
• TypeScript
• Node.js
• Docker / Vercel / cloud deployments
• AI agents
• workflow automation
• SaaS platforms

Work Setup

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

Not Specified in JD

• Salary range
• Visa sponsorship
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Build and launch a production‑ready web application from scratch
• Integrate AI/LLM models and design AI‑powered workflows
• Design and maintain scalable backend APIs and database structures
• Implement authentication, role‑based permissions, and data‑protection best practices
• Optimize AI outputs for reliability and handle hallucinations
• Debug production issues and improve performance, scalability, and uptime
• Collaborate with leadership and product stakeholders to turn ideas into technical solutions
• Iterate rapidly based on product feedback and operational needs

Good Fit If You Have

• Enjoy building products from the ground up
• Thrive in fast‑moving, high‑ownership environments
• Comfortable debugging production issues
• Familiar with AI limitations and prompt reliability
• Experience taking MVPs to production (nice to have)