Generative AI & Agentic AI Engineer Intern

**Key Responsibilities** * Design and propose solution architectures for Generative AI (LLMs), advanced Conversational AI chatbots, and cloud AIaaS platforms. * Develop and implement applications using advanced Generative AI models such as OpenAI GPT, Anthropic Claude, Meta Llama2, and Google Gemini. * Train, fine-tune, and deploy large language models for domain-specific tasks using techniques like instruction tuning, RLHF, and parameter-efficient fine-tuning (LoRA, adapters, etc.). * Architect solutions incorporating Retrieval-Augmented Generation (RAG), Transformer architectures, LangChain, SQLChain, ensuring optimal model performance and scalability. * Hands-on development with RAG systems, LLM fine-tuning, and vector databases. * Benchmark and measure performance of various LLMs and AI applications. * Drive end-to-end implementation and deployment using Azure and AWS services. * Stay updated on emerging trends, AI patterns, and innovations to continuously enhance solution design and deployment processes. **Required Qualifications \& Skills** * Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or equivalent experience. * Strong Python programming skills and fundamentals of software design and optimization. * In-depth knowledge of ML/DL techniques and algorithms, with hands-on exposure to CNNs, RNNs (LSTM), Transformers (BERT, BART, GPT/T5, Megatron, LLMs). * Experience with Conversational AI technologies: NLU, NLG, dialogue systems, information retrieval, QA systems, and machine translation. * Proven experience training BERT, GPT, and Megatron models for NLP/dialog tasks using PyTorch, including data wrangling and tokenization. * Familiarity with MLOps lifecycle, dataset versioning, and database management (SQL, MongoDB). * Experience with end-to-end MLOps platforms: Kubeflow, MLFlow, Airflow. * Strong collaboration, communication, and influencing skills within dynamic, cross-functional teams. **Preferred Attributes** * Hands-on experience with cloud-based AI deployments, including Azure/AWS AI services. * Ability to translate complex AI models into business-ready solutions. * Passion for staying at the forefront of AI research and innovation. * Embeddings \& Transformers, * Vector databases \& optimization * OCR * Agentic AI Pay: ₹10,000\.00 - ₹20,000\.00 per month Work Location: In person