Junior AI Engineer (Fresher) at Crownstack - Noida | ₹3.6 LPA

Junior AI Engineer (Fresher / Internship / Entry-Level)

Crownstack is a digital transformation services company primarily serving the US market. The organization focuses on user experience and high quality digital engineering, helping enterprises design and implement modern digital business models.

With a team of 60+ engineers and designers, Crownstack promotes an engineering driven and people focused culture. The company emphasizes clean coding practices, intuitive user experiences, and a collaborative work environment that supports career growth.

The Opportunity

This 60 day internship-to-conversion program is designed to identify and develop early career AI engineers. Candidates who demonstrate strong technical ability and align with the team culture may transition into a full-time Junior AI Engineer role.

The position is suited for fresh engineers interested in artificial intelligence and real-world AI product development. You will work closely with experienced engineers who will mentor you while you learn and contribute to AI based software systems.

Role Overview

• Join a fast adapting AI engineering team building practical AI driven products and solutions.
• Work alongside senior engineers who provide guidance and mentorship during the early stage of your career.
• Contribute to development involving LLMs, agents, RAG vector systems, and related AI technologies.
• Gain exposure to tools such as LangChain, LangGraph, Claude Code, and modern vector databases.
• Experiment, learn rapidly, and contribute to AI software development projects.

What You'll Do

• Learn and apply AI and machine learning concepts under the guidance of senior engineers.
• Work with Python and frameworks such as FastAPI and Flask.
• Assist with data collection, cleaning, and preprocessing activities.
• Run experiments with prebuilt models and record results.
• Explore and implement LangChain and LangGraph for LLM based workflows.
• Use Git and GitHub for version control and collaborative development.
• Work with RAG architectures, embeddings, and vector databases.
• Support the development and testing of AI agents.
• Experiment with LLM APIs and prompt engineering techniques.
• Use AI assisted development tools such as Claude Code, GitHub Copilot, and Cursor.
• Write small scripts and utility code to support AI workflows.
• Stay updated with emerging AI tools and share insights with the team.