Generative AI Engineer

A Junior Generative AI Engineer focuses on building applications powered by Generative AI models such as Large Language Models (LLMs). This role involves working with AI APIs, prompt engineering, and integrating AI capabilities into real-world applications like chatbots, content generation systems, and intelligent assistants., * Develop and integrate Generative AI solutions into applications

• Work with LLMs (Large Language Models) for text generation and automation
• Design and optimize prompt engineering strategies
• Build AI-powered features such as chatbots, summarization, and recommendation systems
• Integrate AI models using APIs into backend and frontend systems
• Assist in fine-tuning and customizing pre-trained models
• Process and prepare datasets for AI model usage
• Monitor AI outputs and improve accuracy and performance
• Collaborate with AI engineers, data engineers, and product teams
• Ensure ethical AI usage, data privacy, and security practices

• Strong knowledge of Python
• Basic understanding of Machine Learning and NLP concepts
• Familiarity with Generative AI and LLMs
• Knowledge of APIs and backend integration
• Experience with data processing libraries (pandas, NumPy)
• Problem-solving and analytical skills, * Experience with AI platforms like OpenAI, Hugging Face
• Familiarity with prompt engineering techniques
• Knowledge of vector databases (Pinecone, FAISS)
• Understanding of RAG (Retrieval-Augmented Generation) architectures
• Exposure to MLOps practices
• Familiarity with cloud platforms like Amazon Web Services, Microsoft Azure, Google Cloud Platform
• Basic knowledge of Docker and Kubernetes, * Languages: Python
• Frameworks: Transformers, TensorFlow, PyTorch
• AI Platforms: OpenAI, Hugging Face
• Libraries: pandas, NumPy
• Databases: Vector DBs (Pinecone, FAISS)
• Tools: Jupyter Notebook, VS Code
• Platforms: AWS, Azure, Google Cloud Platform