Description

Design and implement the GM GenAI platform, managing architectural approaches for AI software and hardware integration.

Responsibilities

• Lead cross-disciplinary teams to deliver technical solutions aligned with business priorities.
• Architect and build scalable Python services using FastAPI and object-oriented design principles.
• Develop ETL processes for large datasets, optimizing for performance and resiliency.
• Implement message bus architectures using Kafka to handle Pub/Sub requirements.
• Manage the full software development lifecycle, ensuring 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