Description

Responsibilities include:

Design and develop scalable backend systems and data-generation workflows to support AI-powered products.

Build and maintain cloud-based ETL pipelines, ensuring reliability, performance, and scalability.

Create and optimize data models, storage solutions, and retrieval processes for large-scale datasets.

Develop automated validation frameworks to measure data quality and improve system performance.

Collaborate with engineering, product, and design teams to deliver maintainable and effective solutions.

Monitor, troubleshoot, and enhance backend services through testing, documentation, and operational support.

Required Qualifications:

Bachelor’s degree in computer science, Software Engineering, Data Engineering, or a related technical field.

5+ years of software or data engineering experience building scalable backend systems and cloud-based data pipelines.

Strong experience with Python, ETL workflows, distributed processing technologies, and large-scale data storage solutions.

Experience working with LLMs, AI platforms, model evaluation frameworks, and data quality validation processes

Key Skills

Education

Any Graduate