AI/ML Intern – 2026 Batch

Job Title: AI/ML Intern

Location: Bengaluru, India

Number of Openings: 10

Duration: 6 Months

Company Overview:

IAI Solutions (

) operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insight across domains.

We're currently seeking passionate and skilled AI/ML Interns who are eager to contribute to real-world AI development, have hands-on experience with model fine-tuning, and are adept in prompt engineering. If you're ready to work on impactful projects and expand your expertise in AI, we'd love to hear from you.

Position Summary:

As an AI/ML Intern, you will work with state-of-the-art AI technologies to design, build, and deploy intelligent systems. The ideal candidate will have strong proficiency in Python, Flask or Fast API and OOP, with real-world experience in prompt engineering, finetuning and Hugging Face, LangChain. 

Key Responsibilities

• Build FastAPI endpoints that integrate LLMs in a seamless inference pipeline.
• Apply prompt engineering techniques to optimize different LLM-based applications.
• Work with advanced frameworks like LangChain, LangGraph, Hugging Face, OpenAI, and others for model inference and orchestration.
• Develop tools and implement tool calling techniques to enhance LLM capabilities.
• Use Pydantic models to enforce structure and parse LLM responses effectively.
• Leverage object-oriented programming (OOP) principles to write scalable and reusable code.
• Contribute to internal documentation and actively share findings, utilities, and best practices.
• Stay updated with the latest AI research and tooling, integrating innovations into real-world systems.

Requirements

• Must be a B.Tech Graduate of 2026 batch.
• Strong experience in Python for AI/ML development and backend systems.
• Practical knowledge in prompt engineering and LLM optimization for real-world use cases.
• Proficiency with LangChain, LangGraph, Hugging Face Transformers, and Datasets libraries.
• Background in AI/ML research or academic projects, with hands-on model experimentation.
• Solid grasp of Object-Oriented Programming (OOP) and strong problem-solving abilities.
• Ability to work independently as well as within a collaborative team environment.
• Strong communication and documentation skills to convey complex ideas effectively.

Preferred Qualifications

• Previous experience in academic or industrial research/project focused on Large Language Models (LLMs).
• Proven track record of successful AI LLM model deployments and optimizations in production or experimental settings

Perks

• Hands-on experience with real-world AI deployments.
• Work with state-of-the-art AI tools and platforms.
• Mentorship from top AI engineers and researchers.
• Flexible, innovation-driven work culture.
• Stipend: ₹25,000/month.
• Full-time Opportunity: Outstanding performers may be offered a full-time role as an AI/ML Engineer with a package of up to ₹15 LPA.

Selection Process:

Step 1: Application Submission

• Visit
  our Career Page
• Fill in the required details and upload your resume

Step 2: Task Assignment (24 Hours Deadline)

• Download the AI/ML Assignment from the Career Page
• Complete and submit within 24 hours
• Record and attach a 2-minute video explaining your solution (mandatory)

Step 3: Review & Shortlisting

• Our technical team will evaluate your assignment submission
• Candidates with outstanding performance will be shortlisted for interviews

Step 4: Interview

• Showcase your technical and problem-solving abilities
• Highlight your prior work, research, and understanding of AI/ML principles

Step 5: Onboarding

• Post a successful interview, we'll welcome you aboard Get ready to dive into exciting projects and contribute to the field of AI.

Compensation:

• Stipend: ₹25,000/month
• Full-Time Opportunity: Up to ₹15 LPA (based on performance)

How to Apply:

Apply directly via
our Career Portal

Ensure submission includes:

• Updated Resume
• Project Portfolio or GitHub (if available)
• Completed Assignment + Video explanation of 2 minutes