Senior Full Stack Product Engineer (AI)

TL;DR

Senior Full Stack Product Engineer (AI): Building and owning end-to-end product features for a platform that blends real-time lead tracking, performance analytics, and AI tools, with an accent on scalable system design, architecture, and integrations. Focus on shipping high-impact code, mentoring engineers, and driving AI-enhanced capabilities while preparing to lead delivery and technical direction as the team grows.

Location: Anywhere (Latams)

Company

Dentology builds an end-to-end patient acquisition system combining proprietary software with agency services for cosmetic dental practices.

What you will do

• Write clean, high-quality code while owning complex features end-to-end.
• Mentor junior engineers and raise the standard for technical excellence.
• Drive architectural and scalability decisions for long-term growth.
• Collaborate with product and non-technical teams to influence direction and deliver ideas.
• Explore and implement AI-driven tools to enhance platform capabilities.
• Progress into team leadership by coordinating engineers and owning delivery and technical direction.

Requirements

• 4+ years of full stack engineering experience using React.js, Next.js, TypeScript (or similar frameworks).
• Strong expertise with Prisma and PostgreSQL, plus building scalable backend systems.
• Excellent system design and architecture skills.
• Proven track record delivering complex projects end-to-end.
• Strong mentoring ability and genuine interest in coaching other engineers.
• Curiosity and excitement about using AI to solve real-world problems.

Culture & Benefits

• Remote-first work style with the ability to work from anywhere.
• Cutting-edge work using AI and real-time systems in a fast-moving environment.
• Clear leadership path through coaching and management as the engineering function scales.
• High impact: work directly defines the product powering the business.
• High growth with opportunities for career progression.

Hiring process

• Interviews focused on engineering depth, system design, and product-minded delivery.
• Discussion of mentoring/leadership readiness and experience shipping end-to-end features.
• Evaluation of AI curiosity and ability to integrate AI-driven tools into product workflows.