Intern Ai Engineer

Technical Skills

• Proficiency in Python and Git.
• Hands-on experience with LangChain/LangGraph for building LLM-based workflows.
• Good understanding of embedding pipelines, tokens, RAG, and vector databases (e.g., FAISS, Pinecone, Chroma).
• Knowledge of Transformers architecture and AI agent frameworks.
• Familiarity with monitoring tools such as LangSmith or LangFuse is a plus.
• Strong problem-solving skills, attention to detail, and eagerness to learn cutting-edge AI technologies.
• Good English communication skills.

Nice to Have (Plus)

• Basic familiarity with TypeScript and ability to work with APIs from backend services (FastAPI).
• Experience integrating LLM-based applications into production environments.
• Knowledge of containerization and deployment using Docker or cloud platforms (AWS, GCP, Azure).
• Understanding of MLOps, CI/CD for AI systems, or experiment tracking tools.
• Prior experience in chatbot development, prompt tuning, or LLM fine-tuning projects.
• Basic knowledge of frontend rendering and context presentation is a strong advantage.