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. 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.

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

Solid 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.

📌 Python with Gen AI (India)
🏢 Infosys
📍 India