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.
- Valuable 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.