Job Description

The Role

We are looking for a

Technical Architect

who loves to teach. Your mission is to explore the frontiers of the

Google AI ecosystem

, build sophisticated functional prototypes, and document the process for a global audience of learners.

You will act as the bridge between raw technical complexity and intuitive visual learning. You will take a product concept (like a Calorie Tracking AI), build it from scratch, and capture every click, logic flow, and decision in a pristine screen recording.

What You Will Deliver

The Build:

You will construct production-ready applications using

Google Opal, Stitch, AI Studio, and Firebase

. You will integrate these backends with modern No-Code front-end tools.

The Visual Guide:

You will produce high-fidelity

screen recordings (1080p/4K)

. Style:Clinical, precise, and well-paced. No "talking head" footage is required; your voice and your screen are your tools.

The Blueprint:

You will translate your video workflows into detailed

Technical Step-by-Step Guides (Google Docs)

, ensuring that every setting, API call, and database rule is clearly documented.

Why You?

You are a Workflow Obsessive:

You don't just hack things together. You build logically. You organize your nodes, name your variables correctly, and keep your workspace clean.

You are a Natural Teacher:

You can anticipate where a student might get stuck. You know how to explain why you are configuring a specific parameter in Vertex AI, not just thatyou are doing it.

You are "Stack-Fluent":

You understand the mechanics of

LLMs (Large Language Models)

, RAG (Retrieval-Augmented Generation), and authentication flows.

Technical Requirements

Deep familiarity with the

Google Cloud / AI Stack

(Vertex AI, Firebase, Gemini). Expertise in

No-Code/Low-Code platforms

(FlutterFlow, Bubble, etc.). Experience with

API Integration

(REST/JSON). Proficiency in screen capture and audio narration tools (e.g., ScreenFlow, Descript, OBS).

Work Environment

Remote:

Work from anywhere.

Asynchronous:

We care about the quality of the tutorial, not the hours you sit at a desk.

Faceless:

This role focuses entirely on your technical output and voiceover quality; on-camera appearance is not required.
Job Types: Part-time, Contractual / Temporary

Pay: ₹100,800.00 - ₹200,600.00 per month

Work Location: In person