Description

Architect and build scalable GenAI platforms, integrating AI software with hardware systems.

This role is on-site.

Responsibilities

• Design and implement GM GenAI platform architecture, ensuring robust AI software and hardware integration.
• Lead cross-disciplinary teams to deliver technical solutions aligned with business priorities.
• Build scalable Python services using FastAPI and object-oriented design principles.
• Develop and optimize ETL processes for large datasets, focusing on performance and resiliency.
• Manage the full software development lifecycle, including code quality and efficient delivery.

Required Skills

• 10+ years of professional Python development experience.
• Deep expertise in Async Programming, Threading, and concurrent execution models.
• Strong proficiency with FastAPI for building high-performance APIs.
• Experience with ETL pipelines and large-scale data processing optimizations.
• Knowledge of Pub/Sub systems and Message Bus design, specifically with Kafka.
• Proficiency in Object-Oriented Design patterns and principles.
• Experience collaborating in large teams using shared multi-repo codebases (VSCode).

Preferred Skills

• Experience with AI software and hardware integration.
• Strong analytical and problem-solving abilities in shifting priority environments.

Key Skills

Education

Any Graduate