Description

Responsibilities

Develop and maintain applications using Python and SQL.

Build and work with Agentic AI workflows and understand the Agentic AI lifecycle.

Develop and optimize RAG-based solutions.

Work with large datasets using Pandas or similar libraries.

Optimize data processing using PySpark, Databricks, multiprocessing, or distributed computing tools.

Work with cloud platforms such as AWS, Azure, or GCP.

Use Docker and containerization technologies.

Develop REST APIs using FastAPI, Flask, or similar frameworks.

Apply strong problem-solving, analytical, and critical-thinking skills.

Take ownership and accountability for deliverables.

Required Qualifications

8–10 years of overall experience, with at least 5 years of hands-on experience in Python and SQL.

Strong coding and debugging skills.

Practical experience with Agentic AI capabilities and workflows.

Experience with cloud platforms, Docker, and data processing tools.

BE Scrum Master certification required

Key Skills

Education

Bachelor's degree