AI Engineer for MongoDB & AI-Powered Automation – Pakistan
About Our Engineers
With 5+ years of experience in NoSQL systems and AI API integrations, this engineer builds intelligent backends where data flows smoothly between GPT models and MongoDB collections. Ideal for startups building fast MVPs, real-time dashboards, or flexible AI-enhanced platforms.
Key Expertise & Skills
MongoDB Schema Design
GPT-Based Content Storage
Whisper Audio Data Pipelines
Natural Language Search
LangChain Integration
Mongoose
Aggregation Pipelines
AI Logging & Tracking
Technologies & Tools
MongoDB
Mongoose
GPT-4
Whisper API
LangChain
Node.js
Python
Express.js
FastAPI
Docker
Redis
Firebase
Supabase
MongoDB Atlas
GraphQL
Projects Our Engineers Have Worked On
- MongoDB-Powered GPT Chat Logs – Developed a chatbot backend that stores user sessions, GPT messages, and token metadata in MongoDB, enabling easy query and filtering.
Voice-to-Text Task Tracker – Built an app that transcribes voice memos using Whisper, summarizes with GPT, and saves structured task objects into MongoDB collections.
Dynamic Form Analyzer – Created a system where JSON form data is parsed by GPT and categorized/stored in MongoDB with custom schemas for flexible rendering.
Content Generator with History Tracking – Built a tool where marketers create blog drafts using GPT, edit versions, and store historical data in MongoDB for audit purposes.
LangChain QA Bot with Vector Indexing – Integrated MongoDB for storing embeddings and contextual prompts, enabling GPT to search and reply with real-time, data-backed responses.
AI Assistant Logs & Analytics Panel – Developed an analytics dashboard pulling usage logs from MongoDB, summarizing GPT performance, and visualizing engagement trends.
Who Should Hire This Engineer?
Startups building AI-backed NoSQL apps
SaaS platforms needing scalable GPT data systems
Agencies storing unstructured voice/chat data
Teams using Whisper for audio + MongoDB for summaries