Full Stack AI Architect

Company Description

IntraIntel.AI is an advanced AI platform designed to help businesses simplify their data management by offering effortless search and content creation. Our solutions integrate seamlessly with platforms like Google Drive, Dropbox, Box, and OneDrive, providing accessibility across personal and organizational storage systems. Security is our top priority, ensuring your data remains protected within your secure environment. Our flexible and powerful technology enables businesses to select AI language models (LLM) tailored to their needs and achieve deeper insights for faster, better decisions. At IntraIntel.AI, we aim to empower organizations with a personal AI assistant for optimized efficiency and productivity.

Role Description

1. Full Stack Development

Design, build, and maintain full-stack applications with Node.js, Express.js, and modern frontend frameworks such as React.js / Angular.

Implement RESTful APIs, GraphQL endpoints, and real-time communication features supporting multi-tenant AI workloads.

Optimize backend logic for scalability, modularity, and high availability on GCP.

Integrate AI-driven features (RAG, chatbots, data pipelines) into user-facing experiences.

2. AI Integration & Agentic Architecture

Work alongside AI engineers and architects to integrate LLMs, RAG pipelines, and AI agents (using frameworks like LangChain, CrewAI, or LlamaIndex) into the product stack.

Develop APIs and connectors for prompt orchestration, vector storage (FAISS, Chroma, Pinecone), and model inference workflows.

Implement context-aware AI features with secure data access boundaries and performance optimization.

3. Cloud Infrastructure & CI / CD

Deploy, manage, and optimize applications on Google Cloud Platform (GCP) using services such as Cloud Run, GKE, BigQuery, Cloud Storage, IAM, and Pub / Sub.

Set up and maintain CI / CD pipelines using GitHub Actions, Cloud Build, or Terraform for automated testing, integration, and deployment.

Manage infrastructure as code (IaC), automate containerized builds, and optimize deployment strategies for multi-environment scalability.

4. UI / UX Collaboration

Collaborate with product and design teams to transform mockups into seamless user experiences using Figma and front-end frameworks.

Contribute to UX optimization, ensuring that AI-driven features are intuitive, responsive, and visually engaging.

Work with designers to ensure front-end consistency across multi-tenant environments.

5. Performance, Security & Monitoring

Ensure data privacy, scalability, and compliance through role-based access control (RBAC), encryption, and secure API practices.

Monitor system performance using Cloud Monitoring / OpenTelemetry, ensuring uptime and reliability.

Participate in architectural discussions to enhance system observability and security posture.

Required Skills & Qualifications

Technical Proficiency

Backend : Node.js, Express.js, Python (for AI integration), REST / GraphQL APIs

Frontend : React.js / Angular / Vue.js, HTML5, CSS3, TypeScript, Next.js

Database : PostgreSQL, MongoDB, Firestore, Redis

Cloud : Google Cloud Platform (GCP) – Cloud Run, IAM, GKE, BigQuery, Cloud Storage

AI Integration : LLM APIs (OpenAI, Gemini, Claude), LangChain, RAG, vector databases (FAISS, Pinecone, Chroma)

DevOps : Docker, Kubernetes, Terraform, Cloud Build, GitHub Actions

Version Control : Git, Bitbucket

UI / UX Collaboration : Figma, Material UI, responsive design principles