EIC Intern - Technical Assessment and Monitoring (Risk Advisory)
Core
Building and deploying AI/ML solutions, specifically Large Language Models and RAG pipelines, to deliver intelligent, production-ready applications.
Role type
Intern, Machine Learning Engineer (LLM & RAG)
Builds
Intelligent, production-ready applications using LLMs and RAG
Domain
Real Estate Services / Generative AI
Deliverable
production ML models
Required skills
Python, Machine Learning concepts, Large Language Models (LLMs), Prompt Engineering, RAG architecture, LLM orchestration (LangChain/LlamaIndex), Vector Databases, REST API development, Full Stack Development (React/Next.js, Python), Databases (Firebase, PostgreSQL, MongoDB)
Preferred skills
Academic or personal projects in AI/ML/LLM/Full Stack
Technologies
OpenAI GPT, Claude, Gemini, LLaMA, Mistral, Pinecone, FAISS, ChromaDB, FastAPI, Flask, React, Next.js, Firebase, PostgreSQL, MongoDB, LangChain, LlamaIndex
Responsibilities
Collaborate with engineering teams to deliver intelligent applications; work with LLM APIs and orchestration tools; develop RAG pipelines; build backend APIs and frontend interfaces.
Seniority
Intern, Student (Third/Final Year)
