Senior Python AI Engineer: LLM & Scalable Cloud Apps

Easetalent; Islamabad; On-site; PKR 2,000,000 - 4,200,000; Full time

Job summary

Easetalent is seeking a Senior Python Engineer with AI expertise to design, develop, and deploy scalable Python applications that integrate AI solutions. You will build and optimize AI models, implement LLM deployments, and create Python-based ETL tools using Celery, Airflow, Pandas, and PySpark.

Strong cloud and container experience preferred. Responsibilities include working with vector databases, API integrations, and backend services, while mentoring junior engineers and aligning technical

Qualifications

• Strong proficiency in Python and scientific libraries (NumPy, Pandas, SciPy).
• Deep understanding of ML algorithms including supervised/unsupervised/ RL and deep learning frameworks such as TensorFlow or PyTorch.

Responsibilities

• Develop and maintain AI-driven applications: design, build, and deploy scalable Python apps with AI features.
• Build and optimize AI models using TensorFlow, PyTorch, and LangChain libraries.
• Deploy and optimize large language models (LLMs) in production for scalability and performance.
• Design and develop Python-based ETL tools with Celery, Airflow, Pandas and PySpark.
• Utilize vector databases (Chroma, Pinecone, Milvus) for high-dimensional data management.

Skills

Python

NumPy

Pandas

SciPy

ML algorithms

Deep learning

Tools

Docker

Kubernetes

Celery

Airflow

PySpark

PostgreSQL

LangChain

TensorFlow

PyTorch

Keras

LangGraph

HuggingFace Transformer

vLLM

Chroma

Pinecone

Milvus

Job description

Easetalent is seeking a Senior Python Engineer with AI expertise to design, develop, and deploy scalable Python applications that integrate AI solutions. You will build and optimize AI models, implement LLM deployments, and create Python-based ETL tools using Celery, Airflow, Pandas, and PySpark.

Strong cloud and container experience preferred. Responsibilities include working with vector databases, API integrations, and backend services, while mentoring junior engineers and aligning technical