Deadline
28 Aug 2026
Overview
Uruk BD TECH is an AI-focused startup dedicated to building intelligent automation solutions and next-generation AI products. The company is seeking passionate and highly motivated AI Automation Interns who are eager to work with modern artificial intelligence technologies and contribute to real-world AI solutions. Preference will be given to candidates residing in or around Mohammadpur, Dhaka.
As an AI Automation Intern, you will participate in AI-based application development, backend database design and optimization, frontend implementation, and complete end-to-end AI solution delivery. You will work in a fast-paced startup environment with rapid development cycles, open-source ecosystems, and collaborative teams to design, build, deploy, and optimize AI-powered applications. The role provides hands-on exposure to Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), workflow automation, and production-ready AI systems.
Interested candidates should email their updated CV along with a portfolio or GitHub profile (if available) to urukbdtech@gmail.com. Use the email subject line Application for AI Automation Intern – [Your Name]. Candidates with practical AI project experience, open-source contributions, or AI agent development experience will receive preference.
Requirements
Bachelor's Degree or Diploma in Computer Science, Computer Engineering, Software Engineering, or a related discipline.
Strong proficiency in Python and R programming.
Knowledge of backend development and database optimization.
Experience with frontend technologies such as Flutter, React.js, Vue.js, Angular, or other modern web frameworks.
Basic understanding of Docker and CI/CD practices.
Experience with AI agent frameworks including LangChain, CrewAI, AutoGen, LangGraph, or similar.
Knowledge of vector databases including FAISS, Pinecone, and Chroma.
Familiarity with TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers.
Experience integrating LLMs such as ChatGPT, LLaMA, Mistral, DeepSeek, and Qwen.
Understanding of Prompt Engineering, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP).
Experience with workflow automation platforms such as n8n, Zapier, Make, or Apache Airflow.
Preferred experience in Natural Language Processing (NLP), Computer Vision, Recommendation Systems, open-source AI contributions, and AI agent-driven application development.
