GenAI Software Engineer

ResponsibilitiesDevelop GenAI applications using NLP techniques and Open AI, and validate outputs using APIs.Enable various GenAI business use cases utilizing infrastructure with a focus on security and governance.Ability to develop complex applications in LLM, including developing chatbotsIntegrate 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 Skills8+ 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).