Location : San Francisco City ( 2days onsite )
Responsibilities
● Develop GenAI applications using NLP techniques and Open AI , and validate outputs using APIs.
● Enable various GenAI business use cases utilizing Client infrastructure with a focus on security and governance.
● Ability to develop complex applications in LLM, including developing chatbots
● Integrate generative models or applications into existing systems and workflows seamlessly.
● Implement effective prompt techniques to reduce token usage and improve output accuracy.
● Integrate disparate structured and unstructured datasets and documents into a vector database for an effective RAG system
● Document processes, models, and code to ensure maintainability and reproducibility.
Required skill set
● 8 + years of experience in developing applications using data, AI/ML using Python, Langchain, Streamlit etc
● 2+ years of Experience with development using LLMs.
● Solid understanding of RAG, embedding, and training LLMs.
● Technical know-how of effective prompt engineering.
● Hands-on expertise on various Azure services such as Azure Search, App Services, API Management, Cosmos DB
● Familiarity with managing Azure cloud infrastructure.
● Familiarity with Web technologies like React
● Familiarity with software development best practices, including version control (Git), testing, and continuous integration/continuous deployment (CI/CD).
