Responsibilities
Develop and maintain web applications using React and Python
Integrate disparate structured and unstructured datasets and documents into a vector
database for an effective RAG system
Ability to develop complex applications in LLM, including developing chatbots and
integration with Agents
Build an auditing system for monitoring usage, ensuring security and cost efficiency.
Build a robust data pipeline system to ingest and manage data from various sources.
Optimize GenAI applications for enhanced performance, scalability, and reliability.
Required skill set
Experience in developing applications using data, AI/ML, web technologies using Python
and React
Experience with development using LLMs.
Positive understanding of RAG frameworks, embeddings and Agents.
Technical know-how of effective prompt engineering, function calling etc.,
Familiarity with software development best practices, including version control (Git), testing,
and continuous integration/continuous deployment (CI/CD).
Familiarity with various Azure services such as Azure Search, App Services, API
Management, RBAC, VNet, resources, VM, Cosmos DB, etc.
Nice to have
Integrate generative models or applications into existing systems and workflows seamlessly.
Evaluate and implement leading data anonymization and PII detection techniques.
Knowledge of Agentic frameworks.