GenAI Software Engineer

Responsibilities

• Develop 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 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 Skills

• 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).