GenAI Engineer Intern

Job Title: Generative AI Engineer InternLocation: RemoteDuration: 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 chatbotsRole OverviewWe 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 stacksThis 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 using documents, embeddings, and retrievers• Experiment with open-source LLMs and SLMs• Support model inference and hosting using vLLM• Design agent workflows using LangGraph or Google ADK• Evaluate model outputs and improve system performance• Document architectures, experiments, and learnings• Collaborate with engineers on debugging and optimization⸻Required Skills (Beginner to Intermediate)• Strong interest in Generative AI and AI agents• Programming experience in Python• Basic understanding of:• LLMs and transformers (conceptual level)• Prompting and text generation• Familiarity with Git and GitHub• Curiosity, ownership, and willingness to learn fast⸻Nice-to-Have Skills• Experience with LangChain / LangGraph• Exposure to Google ADK• Knowledge of RAG architectures• Familiarity with vector databases (FAISS, Chroma, Pinecone, etc.)• Experience running models locally or on cloud GPUs• Interest in evaluations, benchmarks, or model optimization⸻Eligibility & Work Authorization• US Citizens or Green Card holders preferred• OPT and CPT candidates are welcome to apply• Must be legally authorized to work in the U.S. (for paid roles)• For unpaid roles, academic credit alignment is acceptable⸻Who Should Apply• Students or recent graduates in CS, AI, ML, or related fields• Engineers transitioning into GenAI / AI agent roles• Self-learners with GenAI projects or research interest• Candidates who want deep engineering exposure, not surface-level demos⸻What You’ll Gain• Hands-on experience with real GenAI systems• Exposure to agentic architectures used in industry• Mentorship from engineers actively building AI products• Portfolio-ready projects (agents, RAG systems, evaluations)• Strong foundation for GenAI Engineer / AI Agent roles• Opportunity for full-time conversion or extended collaboration

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