World Trade Factory - The Future Belongs To You - AI Engineering Intern

About the companySKXYWTF builds Exponential Yield (XY) financial products with a social and sustainable mandate — maximising returns while advancing market equity. We sit at the intersection of quantitative finance and applied AI.The roleYou'll join a small, fast-moving AI engineering team working on next-generation language model applications and agentic systems. This is hands-on product engineering — not research busywork — with direct exposure to production AI infrastructure and real users.What you'll work onBuild and ship features for LLM-powered products, including RAG pipelines, structured output layers, and tool-calling agentsDesign and integrate agentic workflows using orchestration frameworks (LangGraph, LlamaIndex, or similar)Design and implement multi-agent systems with memory, planning, and human-in-the-loop capabilities using frameworks such as LangGraph, AutoGen, or CrewAI.Work with model evaluation frameworks — write evals, run benchmarks, and iterate on prompt engineeringBuild and maintain observability tooling: tracing, logging, and latency monitoring for AI inference in productionContribute to model context management — chunking strategies, embedding pipelines, vector store integrationParticipate in code reviews, architecture discussions, and documentationWhat we're looking forCurrently pursuing a BS or MS in Computer Science, Engineering, or a related fieldSolid Python fundamentals; experience with TypeScript, Go, or Rust is a strong plusFamiliarity with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents via Ollama/vLLM)Exposure to RAG patterns, vector databases (Pinecone, Weaviate, pgvector), or embedding workflowsWorking knowledge of containerisation (Docker) and comfort with cloud environments (AWS / GCP / Azure)Understanding of agentic patterns: tool use, function calling, ReAct loops, multi-agent coordinationFamiliarity with model evaluation concepts — LLM-as-judge, benchmark design, RAGAS or similarExcellent communicator; can write clearly and discuss tradeoffs in technical reviewsCuriosity-driven — you read release notes, follow model launches, and have opinions about context windowsCore stackPythonREST / async APIsDockerGitSQLAI / ML layerLLM APIsRAG pipelinesVector DBsPrompt engineeringLangChain / LangGraphLLM evalsStructured outputsAgentic workflowsNice to haveTypeScriptReact / Next.jsKubernetesOpenTelemetry / tracingFine-tuning (LoRA / QLoRA)MCP serversSolidity / Web3ℹUnpaid internship · 3 months. This is a pre-revenue startup engagement. Interns gain direct production experience, mentorship, and a verifiable portfolio of shipped AI systems.