Senior Python AI/ML Engineer: RAG & LLM Workflows

JobCubby; Pakistan; On-site; PKR 2,600,000 - 5,200,000; Full time

Benefits offered by this job

Competitive salary and bonuses

Health insurance

Paid leaves

Job summary

Hybrid MediaWorks in Islamabad, Pakistan, is seeking a Senior Python AI/ML Engineer to design scalable AI-powered applications using Python and modern ML frameworks. You will build RAG systems, LLM-driven workflows, and agentic AI pipelines with LangChain and LangGraph, and develop robust backend APIs with FastAPI and Django.

You will work on data orchestration with Playwright and Scrapy, vector databases like Pinecone and Chroma, and ML models spanning NLP and computer vision, ensuring

Qualifications

• Strong Python development experience.
• Hands-on with RAG architectures and LLM integrations.
• Experience building AI agents and autonomous workflows.
• Proficient with LangChain and LangGraph.
• Backend development with FastAPI and Django.
• Experience deploying AI systems on cloud platforms.

Responsibilities

• Design scalable AI-powered apps using Python.
• Build RAG systems and LLM-driven workflows.
• Develop agentic AI workflows with LangChain/LangGraph.
• Create high-performance backend APIs with FastAPI/Django.
• Develop web scraping and data orchestration with Playwright/Scrapy.
• Integrate vector databases like Pinecone and Chroma.

Skills

Python

RAG architectures

Autonomous AI

LangChain

LangGraph

FastAPI/Django

Vector databases

ML frameworks

OpenCV/YOLO

Cloud deployment

Tools

Playwright

Scrapy

Pinecone

Chroma

PyTorch

TensorFlow

Keras

scikit-learn

Pandas

XGBoost

Docker

CI/CD

AWS

GCP

Azure

Kubernetes

Job description

Hybrid MediaWorks in Islamabad, Pakistan, is seeking a Senior Python AI/ML Engineer to design scalable AI-powered applications using Python and modern ML frameworks. You will build RAG systems, LLM-driven workflows, and agentic AI pipelines with LangChain and LangGraph, and develop robust backend APIs with FastAPI and Django.

You will work on data orchestration with Playwright and Scrapy, vector databases like Pinecone and Chroma, and ML models spanning NLP and computer vision, ensuring