Lead Python Engineer

As a highly skilled Senior Python Lead with expertise in building Generative AI applications, particularly using Azure OpenAI, your role will involve the following key responsibilities: - **AI / LLM Development**: - 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. - **Backend Engineering**: - 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). - **Cloud & MLOps**: - 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. - **Collaboration & Leadership**: - 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, and code reviews. - Ensure security, scalability, performance, and compliance of GenAI applications. Qualifications required for this role include: - 7+ years of hands-on experience in Python development. - Strong expertise in Python frameworks like FastAPI, Flask, Django, Azure OpenAI, LLM-based application development, and vector databases such as Azure Search, Pinecone, ChromaDB. - Solid experience with Prompt engineering, RAG and embeddings, NLP frameworks like Hugging Face, Transformers, LangChain, LlamaIndex, RESTful API development, and cloud-native architecture on Azure. - Strong understanding of security and authentication (OAuth2, JWT), and data governance. Preferred qualifications include experience in fine-tuning or customizing LLMs, familiarity with ML frameworks like PyTorch and TensorFlow, experience with data engineering workflows, a background in deploying enterprise-grade AI applications, and knowledge of MLOps best practices. Kindly note these responsibilities and qualifications to excel in the role of a Senior Python Lead with expertise in building Generative AI applications using Azure OpenAI. As a highly skilled Senior Python Lead with expertise in building Generative AI applications, particularly using Azure OpenAI, your role will involve the following key responsibilities: - **AI / LLM Development**: - 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. - **Backend Engineering**: - 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). - **Cloud & MLOps**: - 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. - **Collaboration & Leadership**: - 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, and code reviews. - Ensure security, scalability, performance, and compliance of GenAI applications. Qualifications required for this role include: - 7+ years of hands-on experience in Python development. - Strong expertise in Python frameworks like FastAPI, Flask, Django, Azure OpenAI, LLM-based application development, and vector databases such as Azure Search, Pinecone, ChromaDB. - Solid experience with Prompt engineering, RAG and embeddings, NLP frameworks like Hugging Face, Transformers, LangChain, LlamaIndex, RESTful API development, and cloud-native architecture on Azure. - Strong understanding of security and authentication (OAuth2, JWT), and data governance. Preferred qualifications include experience in fine-tuning or customizing LLMs, familiarity with ML frameworks like PyTorch and TensorFlow, experience with data engineering workflow