AI Product Engineer

Remote Full-time
This is a remote position.
Job Description – AI Product Engineer
Experience – 7+yrs
Location: Remote
Timings: 5:30 PM – 2:30 AM IST
Notice Period: Immediate Joiners Only
Role Overview

We are looking for a highly driven AI Product Engineer who thrives in fast-paced execution environments and can rapidly build, iterate, and launch AI-powered products. This role requires a hands-on builder mindset with strong ownership, urgency, and the ability to convert ideas into production-ready solutions quickly.

Key Responsibilities

Build and deploy AI-powered applications using Google Cloud Vertex AI and Python.

Rapidly prototype and ship features using modern “vibe coding” and AI-assisted development workflows.

Design, develop, and manage scalable REST APIs and backend integrations.

Implement and manage integrations with Stripe, OAuth, and third-party services.

Collaborate with stakeholders to translate business requirements into technical solutions.

Take ownership of end-to-end product delivery, from development to deployment.

Optimize applications for scalability, reliability, and performance.

Continuously iterate based on product feedback and evolving requirements.

Required Skills & Experience

Strong engineering experience with Google Cloud Vertex AI.

Proficiency in Python for backend and AI application development.

Proven experience in rapid prototyping and AI-assisted/vibe coding workflows.

Deep expertise in:

REST API development

Stripe integrations

OAuth authentication systems

Full-stack integrations

Strong understanding of product management and business alignment.

Demonstrated ability to independently own projects and ship production-ready code quickly.

Excellent problem-solving and debugging skills.

Strong verbal and written communication skills.

Preferred Qualifications

Experience working in startup or high-velocity product environments.

Familiarity with cloud-native architectures and deployment workflows.

Exposure to AI product lifecycle management and LLM-based applications.

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