Lead Python Engineer with Gen AI

Position Overview We are seeking a highly skilled Senior Python Lead with deep experience in building Generative AI applications, particularly using Azure OpenAI. The ideal candidate will have strong backend engineering expertise, hands-on experience in LLM- based solution development, and the ability to design, architect, and deploy AI-driven applications at scale. This role requires close collaboration with architects, product owners, and cross-functional teams to deliver innovative GenAI capabilities aligned with business objectives. Key Responsibilities 1. 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: o Prompt engineering o Fine-tuning o Vectorization o Evaluation pipelines Build and integrate Retrieval-Augmented Generation (RAG) workflows using Azure Cognitive Search or other vector databases. 2. 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). 3. Cloud & MLOps Deploy end-to-end AI solutions on Azure, leveraging: o Azure OpenAI o Azure Cognitive Search o Azure Machine Learning o Azure Functions o Azure Kubernetes Service (AKS) o Azure Data Lake / Storage Implement CI/CD pipelines, model deployment workflows, and monitoring systems.

4. 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: o Design discussions o Architecture reviews o Code reviews Ensure security, scalability, performance, and compliance of GenAI applications. Required Qualifications 7+ years of hands-on experience in Python development. Strong expertise in: o Python frameworks: FastAPI / Flask / Django o Azure OpenAI (GPT models, ChatGPT) o LLM-based application development o Vector databases (Azure Search, Pinecone, ChromaDB) Solid experience with: o Prompt engineering o RAG and embeddings o NLP frameworks (Hugging Face, Transformers, LangChain, LlamaIndex) o RESTful API development o Cloud-native architecture on Azure Strong understanding of: o Security and authentication (OAuth2, JWT) o 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.