AI Intern

Job Details

• Location: Mumbai (On-site)
• Internship Duration: 3 Months
• Full-Time Opportunity: Interns who successfully complete the internship may be considered for a full-time role based on business requirements and overall performance.

What You’ll Do-

• Develop Machine Learning and Large Language Model (LLM)-based applications for real-world use cases.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-powered solutions.
• Design, develop, and enhance AI Agents to automate business workflows.
• Perform data preprocessing, feature engineering, model training, evaluation, and optimization.
• Develop Python-based APIs and production-ready AI applications.
• Write clean, scalable, and maintainable Python code following best practices.
• Research, experiment, and implement the latest AI technologies, frameworks, and tools.
• Collaborate with cross-functional teams to deliver innovative AI solutions that create measurable business impact.

What We’re Looking For-

• Strong programming skills in Python.
• Good understanding of Machine Learning and Deep Learning fundamentals.
• Knowledge of Large Language Models (LLMs) and Prompt Engineering.
• Hands-on experience with Retrieval-Augmented Generation (RAG).
• Familiarity with AI Agent development using Claude Code.
• Experience with frameworks such as LangChain, LangGraph, MCP, or similar AI ecosystems.
• Basic understanding of Vector Databases (FAISS, ChromaDB, Pinecone, etc.).
• Familiarity with Git, Linux, SQL, and REST APIs.
• Strong analytical thinking, debugging, and problem-solving skills.
• Passion for AI, continuous learning, and building impactful products.

You should not apply with us if-

• You are not comfortable working in a fast-paced, agile startup environment.
• You prefer following instructions over solving real-world problems.
• You are not interested in learning emerging AI technologies.
• You are looking for a purely academic or research-only internship.
• You are not willing to take ownership of your work and collaborate across teams.

Eligibility

• B.E./B.Tech graduates (2023, 2024, 2025, or 2026 pass-outs) only.
• Branches: Computer Science, Artificial Intelligence, AI & ML, Data Science, Information Technology, or equivalent disciplines.
• Candidates currently pursuing B.E./B.Tech are not eligible.
• Candidates with AI/ML projects, GitHub contributions, hackathons, internships, or open-source contributions will be preferred.

About Us – Faclon Labs