Python with Gen AI

Responsibilities :

Develop and maintain applications using Python. Build and integrate Generative AI solutions using Large Language Models (LLMs). Design and implement APIs and backend services. Work with AI/ML frameworks and libraries for model development and integration. Develop prompt engineering strategies and optimize AI model outputs. Integrate AI solutions with enterprise applications and databases. Collaborate with cross-functional teams to understand business requirements. Troubleshoot, debug, and optimize application performance.

Additional Responsibilities:

Preferred Skills Exposure to Vector Databases (FAISS, ChromaDB, Pinecone). Knowledge of AI agents and chatbot development. Understanding of MLOps concepts and model deployment. Good analytical and problem-solving skills. Key Competencies Strong communication and collaboration skills. Quick learner with a passion for emerging AI technologies. Ability to work in a fast-paced environment and deliver quality solutions. Keywords: Python, Generative AI, LLM, Prompt Engineering, LangChain, RAG, Hugging Face, OpenAI, Machine Learning, AI Chatbots, REST API, SQL, Vector Database.

Technical and Professional Requirements:

Strong knowledge of Python programming. Understanding of Generative AI concepts, LLMs, Prompt Engineering, and RAG (Retrieval-Augmented Generation). Experience with AI/ML libraries such as LangChain, Hugging Face, OpenAI APIs, Transformers, Scikit-learn. Knowledge of REST APIs, JSON, and Microservices. Familiarity with SQL/NoSQL databases. Understanding of Git and version control systems. Basic knowledge of cloud platforms such as Azure, AWS, or GCP.