GenAI Developer

Key Responsibilities

• Design, develop, and deploy enterprise Generative AI applications using Azure OpenAI Services.

• Build Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases.

• Develop scalable REST APIs using FastAPI and Flask.

• Integrate Vision LLMs for image, document, and multimodal understanding.

• Build document processing pipelines using PyMuPDF for PDF extraction, parsing, and preprocessing.

• Implement semantic search using FAISS Vector Database.

• Engineer prompts and optimize LLM responses for enterprise use cases.

• Develop AI-powered chatbots, document Q&A, summarization, and intelligent automation solutions.

• Optimize AI models for latency, scalability, and cost efficiency.

• Integrate AI solutions with enterprise applications and cloud services.

• Implement monitoring, evaluation, and experimentation frameworks using Opik or similar LLM observability tools.

• Collaborate with product managers, architects, data scientists, and software engineers to deliver AI solutions.

• Ensure AI applications follow security, governance, and responsible AI best practices.

Required Skills