Job Summary We are seeking a talented Python AI / Generative AI Developer with 6+ years of experience in designing and developing AI-driven applications. The ideal candidate will have strong expertise in machine learning, natural language processing, and generative AI, with hands-on experience building intelligent systems in Python. The role involves developing AI-powered solutions, implementing generative AI models, integrating AI services into applications, and collaborating with cross-functional teams to deliver scalable and innovative AI solutions. Key Responsibilities • Design and develop AI and Generative AI solutions using Python. • Build and integrate applications leveraging Large Language Models. • Develop and optimize machine learning models using frameworks such as TensorFlow and PyTorch. • Implement Natural Language Processing (NLP) techniques for intelligent text-based applications. • Develop APIs and backend services to integrate AI capabilities into enterprise applications. • Work with vector databases and embeddings for building semantic search and AI-powered systems. • Fine-tune and optimize generative AI models for performance and accuracy. • Collaborate with data scientists, engineers, and product teams to design AI-driven features. • Monitor, evaluate, and improve AI model performance in production environments. • Document AI models, workflows, and implementation strategies. Required Skills & Qualifications • 6 years of experience in AI/ML development using Python. • Strong understanding of Machine Learning and Natural Language Processing. • Hands-on experience working with Large Language Models and Generative AI frameworks. • Experience using AI/ML frameworks such as TensorFlow or PyTorch. • Experience building AI-driven APIs and backend services. • Proficiency in data processing libraries such as Pandas and NumPy. • Understanding of prompt engineering, model fine-tuning, and AI workflow optimization. • Experience working with REST APIs and cloud-based AI services. Preferred Qualifications • Experience with AI frameworks such as LangChain or LlamaIndex. • Exposure to cloud platforms like Amazon Web Services, Microsoft Azure, or Google Cloud Platform. • Experience with vector databases such as Pinecone or Weaviate. • Familiarity with MLOps practices for model deployment and monitoring. • Experience working in Agile development environments. Key Competencies • AI and Generative AI development • Machine learning model development and optimization • NLP and LLM integration • API development and system integration • Analytical thinking and problem-solving