Job Description

Location: Gurugram (Work from Office) Stipend: Competitive (Based on Skills & Experience) Duration: Internship (with potential for full-time opportunity) Job Overview Registerkaro is looking for a highly motivated Artificial Intelligence Intern to join our AI research and development team The ideal candidate should have hands-on experience with Retrieval-Augmented Generation (RAG), Agentic AI agents, and fine-tuning Large Language Models (LLMs) This role offers a unique opportunity to work on cutting-edge AI solutions, applying advanced machine learning techniques to real-world business problems. Key Responsibilities Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance the performance of AI models. Work on Agentic AI agents to build autonomous, goal-driven AI applications. Fine-tune and optimize Large Language Models (LLMs) such as GPT, LLaMA, Falcon, or Mistral to align with specific business use cases. Implement and improve prompt engineering techniques to enhance LLM performance. Develop APIs and integrate AI models into business applications. Research and apply machine learning techniques to improve model efficiency and scalability. Conduct model evaluation, performance analysis, and debugging for AI-driven solutions. Collaborate with cross-functional teams to integrate AI models into production environments. Stay updated with the latest advancements in AI, NLP, and deep learning. Required Skills & Qualifications Strong knowledge of Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP). Hands-on experience with RAG frameworks and retrieval-based AI models. Experience working with Agentic AI architectures and multi-agent systems. Proficiency in fine-tuning LLMs (e.g., GPT, LLaMA, Falcon) using Hugging Face, PyTorch, or TensorFlow. Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate) for optimizing AI retrieval mechanisms. Proficiency in Python and frameworks like LangChain, LlamaIndex, OpenAI API, or Cohere. Basic knowledge of cloud platforms (AWS, Azure, GCP) and AI model deployment. Experience with ML frameworks such as Hugging Face Transformers, TensorFlow, PyTorch. Strong problem-solving, analytical, and research skills. Preferred (Not Mandatory): Experience with Docker, Kubernetes, or CI/CD pipelines for deploying AI models. Familiarity with graph-based AI search and multimodal AI models. Exposure to Reinforcement Learning with Human Feedback (RLHF). Why Join Us? Work on real-world AI applications in a fast-growing startup. Gain hands-on experience with state-of-the-art AI models and tools. Collaborate with AI researchers and expert team. Potential for a full-time role based on performance. If you're passionate about AI and eager to work on cutting-edge projects, apply now!