Junior AI Engineer

Crownstack

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Noida Sector 2 (Work from Office)0 – 1 Year (Freshers Welcome)1 month ago

Job Description

  • As a Junior AI Engineer Intern, you will join a quick-adaptive team focused on shipping AI-powered solutions. Your core mission is to learn, experiment, and contribute to AI software development involving Large Language Models (LLMs) and RAG vector systems . Under the guidance of senior mentors, you will learn to build AI agents and integrate them into production-grade applications. This is a high-growth role where initiative and curiosity are rewarded with rapid career progression.
  • You will practice “vibe coding” using the latest AI-assisted development tools like Claude Code, GitHub Copilot, and Cursor . Your responsibilities will span across the full AI development lifecycle, from data preprocessing to exploring LangChain and LangGraph workflows. This role is perfect for self-motivated individuals who build side projects for fun and want to master the art of prompt engineering and semantic search in a fast-paced, hands-on environment.

Key Responsibilities

  • Learn and apply AI/ML concepts to build real-world products.
  • Develop backend services using Python frameworks like FastAPI and Flask .
  • Build LLM-powered workflows using LangChain and LangGraph .
  • Implement RAG (Retrieval-Augmented Generation) architectures.
  • Work with vector databases (Pinecone, ChromaDB) and semantic search embeddings.
  • Assist in the design and testing of AI Agents and agentic workflows.
  • Practice AI-assisted coding using tools like Cursor and Claude Code.
  • Perform data collection, cleaning, and preprocessing for model training/fine-tuning.
  • Collaborate via Git and GitHub for version control and branching.

Skills & Eligibility

  • Education: Bachelor’s degree in CS, Engineering, or a related technical field.
  • Python: Basic proficiency in data structures, OOP concepts, and functions.
  • AI Concepts: Awareness of supervised learning, neural networks, and GenAI.
  • LLM Knowledge: Familiarity with APIs from OpenAI, Claude, or Gemini .
  • Tools: Exposure to Git, GitHub , and AI coding assistants (Copilot/Cursor).
  • Vector DBs: Awareness of Pinecone, ChromaDB, or Weaviate is preferred.
  • Soft Skills: Proactive, self-driven, and able to communicate technical ideas in English.
  • Mindset: A strong problem-solving mindset and a positive attitude toward feedback.
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