Lead Python Engineer

About Company At Delaplex, we believe true organizational distinction comes from exceptional products and services. Founded in 2008 by a team of like-minded business enthusiasts, we have grown into a trusted name in technology consulting and supply chain solutions. Our reputation is built on trust, innovation, and the dedication of our people who go the extra mile for our clients. Guided by our core values, we don't just deliver solutions, we create meaningful impact. Key Tasks & Responsibilities Lead the development, integration, and deployment of Python-based applications that incorporate Generative AI (GenAI) functionalities. Design and implement core GenAI features, including Large Language Model (LLM) fine-tuning, prompt engineering, and utilizing frameworks like RAG (Retrieval-Augmented Generation). Serve as a technical leader, driving high-quality, efficient, and scalable Python code. Conduct comprehensive code reviews and enforce best practices. Integrate GenAI components smoothly into the existing product architecture, ensuring reliable data pipelines and API communication. Optimize the performance and latency of deployed GenAI models and associated Python services for production readiness and scale. Provide technical guidance and mentorship to the development team on complex coding challenges and GenAI deployment strategies. Contribute to technical discussions regarding product architecture, focusing on how new features impact system scalability and maintainability. Required Qualifications 7-10 years of professional experience in software development, with a significant focus on Python and recent experience in Generative AI. Expert proficiency in Python, including experience with modern frameworks (e.g., FastAPI, Django) and data science libraries (e.g., NumPy, Pandas). Proven, hands-on experience developing and deploying LLMs, working with tools like LangChain, LlamaIndex, Hugging Face, PyTorch, or TensorFlow. Demonstrated experience working on a Python / GenAI product from concept to production, understanding the trade-offs in product design. Solid understanding of product architecture principles relevant to building and scaling web services, APIs, and GenAI microservices. Deployment Skills: Experience with containerization (Docker, Kubernetes) and deployment on major cloud platforms (AWS, Azure, or GCP). Strong analytical and problem-solving skills to troubleshoot complex system and GenAI-related issues. Experience in developing Learning Management Systems (LMS) is an added advantage. Strong understanding of Figma and React-based UI development is an added advantage. Skills: azure,aws,features,architecture,python,api,design .