Design, develop, and implement the GenAI platform and related business use cases with a strong focus on production readiness.
Develop architectural approaches for AI software and hardware integration, emphasizing quality, performance, resiliency, and reusable components.
Collaborate with business and IT stakeholders to translate business needs into technical solutions that scale.
Lead technical delivery across cross-functional, geographically dispersed teams, ensuring tasks are identified, prioritized, and executed across the SDLC.
Drive platform performance, scalability, and resiliency testing; implement hardware upgrades and software enhancements to meet global expectations.
What's Needed?
7+ years of Python development experience, including the ability to write production code independently without relying on AI assistance.
Strong Python fundamentals (data structures, error handling, and application architecture) plus proficiency in Unix scripting.
Experience designing and implementing multi-tier application platforms, including microservices.
In-depth knowledge of relational databases (Oracle or MySQL) and NoSQL databases (MongoDB), including processing large structured and unstructured datasets.
Knowledge of front-end technologies such as HTML, CSS, JavaScript, XML, React, and jQuery, along with experience delivering projects through cross-functional, geographically dispersed teams