Python Developer

As a Python Developer at our company, your role will involve utilizing your robust backend engineering expertise and hands-on exposure to Generative AI, Machine Learning, and Deep Learning to design, build, and scale AI-driven applications. You will play a key part in developing production-grade AI solutions by leveraging Large Language Models (LLMs), deep learning models, and cloud AI services across cloud or on-premise environments. Your responsibilities will include building high-performance backend services, integrating advanced AI/ML models, and enabling scalable API-driven platforms. The ideal candidate for this role should have experience in building LLM-powered systems, implementing Agentic AI workflows, and applying AI-first approaches to solve business problems. You will collaborate closely with cross-functional teams to deliver reliable, scalable, and secure AI solutions integrated into enterprise systems. Key Responsibilities: - Design, develop, and integrate LLM-based solutions (e.g., OpenAI GPT, LLaMA, HuggingFace models) into enterprise products and workflows. - Implement Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, chunking strategies, and fine-tuning for business use cases. - Develop APIs and integration layers to seamlessly connect AI models with frontend and backend systems. - Build and maintain scalable backend applications using Python with microservices architecture. - Design and implement RESTful APIs using frameworks such as FastAPI (mandatory), Flask, or Django. - Develop Agentic AI workflows including multi-agent coordination, tool/function calling, memory handling, and workflow orchestration. - Integrate AI models into applications using APIs and ensure secure and efficient communication across systems. - Collaborate effectively with frontend (Flutter) and backend (Node.js/Python) teams for smooth AI feature deployment. - Test, debug, and manage API integrations using tools like cURL and other debugging mechanisms. - Build and deploy AI services on cloud platforms using AWS services. Qualifications Required: - Strong proficiency in Python programming. - Hands-on experience with Generative AI, Machine Learning, and Deep Learning technologies. - Experience in developing AI-driven applications and integrating AI/ML models into production systems. - Familiarity with microservices architecture and RESTful API design. - Knowledge of FastAPI (mandatory), Flask, or Django frameworks. - Ability to collaborate effectively with cross-functional teams. - Experience in deploying AI services on cloud platforms, particularly AWS. (Note: The additional details of the company were not provided in the job description.) As a Python Developer at our company, your role will involve utilizing your robust backend engineering expertise and hands-on exposure to Generative AI, Machine Learning, and Deep Learning to design, build, and scale AI-driven applications. You will play a key part in developing production-grade AI solutions by leveraging Large Language Models (LLMs), deep learning models, and cloud AI services across cloud or on-premise environments. Your responsibilities will include building high-performance backend services, integrating advanced AI/ML models, and enabling scalable API-driven platforms. The ideal candidate for this role should have experience in building LLM-powered systems, implementing Agentic AI workflows, and applying AI-first approaches to solve business problems. You will collaborate closely with cross-functional teams to deliver reliable, scalable, and secure AI solutions integrated into enterprise systems. Key Responsibilities: - Design, develop, and integrate LLM-based solutions (e.g., OpenAI GPT, LLaMA, HuggingFace models) into enterprise products and workflows. - Implement Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, chunking strategies, and fine-tuning for business use cases. - Develop APIs and integration layers to seamlessly connect AI models with frontend and backend systems. - Build and maintain scalable backend applications using Python with microservices architecture. - Design and implement RESTful APIs using frameworks such as FastAPI (mandatory), Flask, or Django. - Develop Agentic AI workflows including multi-agent coordination, tool/function calling, memory handling, and workflow orchestration. - Integrate AI models into applications using APIs and ensure secure and efficient communication across systems. - Collaborate effectively with frontend (Flutter) and backend (Node.js/Python) teams for smooth AI feature deployment. - Test, debug, and manage API integrations using tools like cURL and other debugging mechanisms. - Build and deploy AI services on cloud platforms using AWS services. Qualifications Required: - Strong proficiency in Python programming. - Hands-on experience with Generative AI, Machine Learning, and Deep Learning technologies. - Experience in developing AI-driven applications and integrat