AI Engineer

Develop and implement Generative AI solutions by designing, training, and fine-tuning machine learning models including Large Language Models using techniques such as Retrieval-Augmented Generation (RAG).

Build and optimize RAG pipelines and integrate vector storage solutions like Azure AI Search, Pinecone, and Milvus to enable efficient data retrieval.

Orchestrate AI workflows via Azure OpenAI Service and Python SDKs, collaborate with software teams to integrate AI models into applications, applying prompt engineering and leveraging Python ML libraries.

Bachelor of Engineering (B.E.) degree.

Experience in designing, training, and fine-tuning ML models, including Large Language Models and use of advanced techniques like RAG.

Proficiency in Python and ML libraries such as Hugging Face, Scikit-learn, and LangChain.

Work Experience Required: Not explicitly mentioned in the JD.

Experienced in building scalable AI/ML solutions using cloud-native tools, particularly Azure-native services for AI workflows and data management.

Demonstrated ability to work with complex AI model fine-tuning and integration into production software environments.

Familiar with advanced vector storage and retrieval systems and prompt engineering to optimize model performance.