Design, develop, and maintain end-to-end scalable applications using Python.
Build backend services for GenAI solutions, leveraging Azure or AWS.
Work with frameworks such as QUICK API (preferred), Flask or Django.
Integrate LLM models and conversational AI solutions into backend systems.
Develop LLM-driven features such as search, summarization, RAG pipelines, document intelligence, or agents.
Manage deployments in DevOps environments using tools like GitHub, CI/CD pipelines.
Collaborate with business units and vendors to align technical solutions with business goals.
Perform system testing, optimization, and scalability improvements.