AI & Cloud Engineering Intern

About the Role We are looking for a motivated university student who is passionate about Artificial Intelligence, Cloud Technologies, and Software Engineering. This internship offers an opportunity to work on modern AI solutions involving AI agents, vector databases, and cloud-native technologies. You will collaborate with experienced engineers on projects and gain hands-on experience with emerging Generative AI technologies and enterprise-grade cloud platforms. Your Responsibilities Support the development of AI and Generative AI solutions Work with vector databases and semantic search technologies Develop and maintain Python-based applications and services Contribute to AI agent implementations using modern agentic frameworks Build and operate containerized applications Support deployment and operation of solutions on Google Cloud Platform (GCP) Participate in proof-of-concept (PoC) activities and technical evaluations Create and maintain technical documentation Required Qualifications Currently pursuing a Bachelor's or Master's degree in: Computer Science, Software Engineering, Information Technology or a related field Good programming skills in Python Familiarity with Git and version control systems Experience with Docker and container technologies Basic understanding of software development principles Familiarity with Linux environments Strong problem-solving and analytical skills Good English communication skills Curiosity and willingness to learn new technologies Nice to Have Basic understanding of: Retrieval-Augmented Generation (RAG), Vector Databases (e.g., Chroma, Qdrant, Weaviate, Pinecone), Agentic AI frameworks (e.g., Google ADK, LangGraph, CrewAI, AutoGen), Agent-to-Agent (A2A) communication concepts and protocols Exposure to Google Cloud Platform (GCP) services Interest in Large Language Models (LLMs) and Generative AI Experience with REST APIs and cloud-native development Assist in building and testing Retrieval-Augmented Generation (RAG) pipelines