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GenAI Software Engineer
2 months ago
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).