Python GenAI Developer

Job description

Educational Requirements Bachelor of Engineering Service Line Information Systems 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. Preferred Skills - Technology->AI-Data science->PYTHON