Better Direct is seeking a motivated AI Intern who is passionate about large language models, machine learning, and applied AI systems. The internship focuses on building real-world AI systems and involves working on projects related to LLMs, retrieval-augmented generation pipelines, and AI-powered document processing systems.
Responsibilities:
- Build and experiment with open-source LLM and SLM pipelines
- Design and implement Retrieval Augmented Generation (RAG) systems
- Develop AI pipelines capable of processing documents, PDFs, and structured data
- Work with embedding models and vector search systems
- Implement prompt engineering, model evaluation, and response optimization
- Assist with fine-tuning or adapting open-source models when necessary
- Build ingestion pipelines for PDFs, documents, and datasets
- Implement document chunking, embedding generation, and indexing strategies
- Work with vector databases to support semantic search and retrieval
- Optimize pipelines for latency, scalability, and cost efficiency
- Evaluate different open-source models and architectures
- Compare embedding models and retrieval methods
- Test improvements in RAG performance and hallucination reduction
- Explore emerging techniques in Vision Language Models (VLMs)
- Work with engineers to integrate AI components into applications
- Document experiments and technical findings
- Participate in weekly discussions on AI architecture decisions and improvements