GenAI Engineer Intern

Job Title: Generative AI Engineer Intern Location: Remote Duration: 6 Months (extendable) Compensation: 15K We go beyond courses and , interns and members build real GenAI systems—AI agents, RAG pipelines, memory layers, evaluation frameworks, and model-serving infrastructure—using production-grade tools and architectures. Our community spans students, working professionals, startup founders, and enterprise engineers across the U.S. and globally. We emphasize: • Learning by building • Systems thinking over prompt hacking • Open-source, research-backed GenAI engineering • Agent-based architectures, not chatbots Role Overview We are seeking a Generative AI Engineer Intern who wants hands-on experience building agentic AI systems end-to-end. You will work with the AgentVersity engineering team to design, build, and evaluate: • AI agents • LLM and SLM-based applications • Memory-enabled systems • RAG pipelines • Model hosting and inference stacks This role is ideal for candidates who want to deeply understand how GenAI systems work in practice, from architecture to deployment. ⸻ What You’ll Learn & Work On • Build applications using Large Language Models (LLMs) and Small Language Models (SLMs) • Design and implement AI agents with tools, memory, and reasoning • Work with LangGraph and/or Google Agent Development Kit (ADK) • Build Retrieval-Augmented Generation (RAG) pipelines • Understand agent memory (short-term, long-term, vector-based) • Host and serve models using vLLM • Compare closed vs open-source models • Run LLM evaluations (quality, latency, cost, hallucination analysis) • Learn tradeoffs in accuracy vs speed vs cost ⸻ Responsibilities • Assist in building GenAI-powered agents and applications • Implement RAG pipelines