Lead Python Engineer

As a highly skilled Senior Python Lead with deep experience in building Generative AI applications, particularly using Azure OpenAI, your role will involve the following key responsibilities: - Design, develop, and optimize GenAI-powered applications using Azure OpenAI (GPT models, embeddings, RAG pipelines, function calling, agents). - Implement LLM operations including: - Prompt engineering - Fine-tuning - Vectorization - Evaluation pipelines - Build and integrate Retrieval-Augmented Generation (RAG) workflows using Azure Cognitive Search or other vector databases. - Develop robust and scalable backend services using Python (FastAPI, Flask). - Build APIs, microservices, and data pipelines for GenAI applications. - Integrate structured and unstructured data sources (databases, PDFs, APIs, documents). - Deploy end-to-end AI solutions on Azure, leveraging: - Azure OpenAI - Azure Cognitive Search - Azure Machine Learning - Azure Functions - Azure Kubernetes Service (AKS) - Azure Data Lake / Storage - Implement CI/CD pipelines, model deployment workflows, and monitoring systems. - Work closely with Solution Architects and business stakeholders to translate requirements into technical solutions. - Provide technical leadership and mentor junior developers. - Participate in: - Design discussions - Architecture reviews - Code reviews - Ensure security, scalability, performance, and compliance of GenAI applications. Qualifications Required: - 7+ years of hands-on experience in Python development. - Strong expertise in: - Python frameworks: FastAPI / Flask / Django - Azure OpenAI (GPT models, ChatGPT) - LLM-based application development - Vector databases (Azure Search, Pinecone, ChromaDB) - Solid experience with: - Prompt engineering - RAG and embeddings - NLP frameworks (Hugging Face, Transformers, LangChain, LlamaIndex) - RESTful API development - Cloud-native architecture on Azure - Strong understanding of: - Security and authentication (OAuth2, JWT) - Data governance Preferred Qualifications: - Experience in fine-tuning or customizing LLMs. - Familiarity with ML frameworks such as PyTorch and TensorFlow. - Experience with data engineering workflows (SQL, ETL pipelines). - Background in deploying enterprise-grade AI applications. - Knowledge of MLOps best practices. As a highly skilled Senior Python Lead with deep experience in building Generative AI applications, particularly using Azure OpenAI, your role will involve the following key responsibilities: - Design, develop, and optimize GenAI-powered applications using Azure OpenAI (GPT models, embeddings, RAG pipelines, function calling, agents). - Implement LLM operations including: - Prompt engineering - Fine-tuning - Vectorization - Evaluation pipelines - Build and integrate Retrieval-Augmented Generation (RAG) workflows using Azure Cognitive Search or other vector databases. - Develop robust and scalable backend services using Python (FastAPI, Flask). - Build APIs, microservices, and data pipelines for GenAI applications. - Integrate structured and unstructured data sources (databases, PDFs, APIs, documents). - Deploy end-to-end AI solutions on Azure, leveraging: - Azure OpenAI - Azure Cognitive Search - Azure Machine Learning - Azure Functions - Azure Kubernetes Service (AKS) - Azure Data Lake / Storage - Implement CI/CD pipelines, model deployment workflows, and monitoring systems. - Work closely with Solution Architects and business stakeholders to translate requirements into technical solutions. - Provide technical leadership and mentor junior developers. - Participate in: - Design discussions - Architecture reviews - Code reviews - Ensure security, scalability, performance, and compliance of GenAI applications. Qualifications Required: - 7+ years of hands-on experience in Python development. - Strong expertise in: - Python frameworks: FastAPI / Flask / Django - Azure OpenAI (GPT models, ChatGPT) - LLM-based application development - Vector databases (Azure Search, Pinecone, ChromaDB) - Solid experience with: - Prompt engineering - RAG and embeddings - NLP frameworks (Hugging Face, Transformers, LangChain, LlamaIndex) - RESTful API development - Cloud-native architecture on Azure - Strong understanding of: - Security and authentication (OAuth2, JWT) - Data governance Preferred Qualifications: - Experience in fine-tuning or customizing LLMs. - Familiarity with ML frameworks such as PyTorch and TensorFlow. - Experience with data engineering workflows (SQL, ETL pipelines). - Background in deploying enterprise-grade AI applications. - Knowledge of MLOps best practices.