AI Engineer Intern

Why work with us

How the job actually works

Remote-First Culture

Work from anywhere with flexible hours and global collaboration.

Learning & Development

Continuous learning opportunities and skill development programs.

Work-Life Balance

Flexible schedules and time off to maintain healthy work-life balance.

Selection process

What happens after you write to us

• 1

  AI Telephonic Interview

  A short screening call with our AI interviewer, on any phone, at a time that suits you.

• 2

  AI Video Interview

  Role-specific questions answered on video, reviewed by our team.

• 3

  Interview / Technical Test

  An interview with team members, or a practical test of your skills.

• 4

  Offer

  Final decision and offer discussion.

AI Engineer Intern

AI/ML In-office / Hybrid 3-6 months Internship

Join our AI team to work on cutting-edge Generative AI products combining LLMs, Prompt Engineering, and RAG technologies. Build AI-powered user interfaces using Angular and create intelligent AI agents using modern tools like N8n, Claude Code, and Apache Airflow.

What you’ll do

• Work on advanced AI products related to LLM, Generative AI, Prompt Engineering, and RAG (Retrieval-Augmented Generation)
• AI-Powered UI Development: Build dynamic and responsive user interfaces in Angular that serve as the primary interaction point for our AI services
• Use AI tools like N8n, Claude Code, and Apache Airflow to build AI Agents for workflow automation and orchestration
• Use advanced APIs from Google Gemini, Cloud-Based LLMs, and Private LLM deployments to build Generative AI-based systems
• API Integration: Expertly integrate and consume RESTful APIs from our AI backend, ensuring seamless data flow and real-time model interaction within the Angular application
• Prompt Engineering Implementation: Design and implement user-facing features powered by prompt engineering, allowing users to interact intuitively with Large Language Models (LLMs)
• Collaboration & Quality: Collaborate with AI and product teams to translate requirements into technical implementations with high code quality standards
• Work with SQL databases (MS SQL preferred) for data access, querying, and management
• Deploy and test AI models using cloud platforms (AWS, Azure, GCP)
• Participate in code reviews and maintain version control using Git/GitHub

Required skills & technologies

• Prior Internship Experience: Previous internship experience in a software development or AI-related role is highly preferred
• Working knowledge of Angular (required) for building dynamic web applications
• Database Curiosity: An interest in database concepts and exposure to SQL, MS SQL Server (required)
• Cloud Platform Awareness: Basic familiarity with what cloud platforms like AWS, Azure, or GCP are used for
• Passion for AI: A genuine interest in AI agents, Retrieval-Augmented Generation (RAG), or other modern AI topics
• Familiarity with Git and basic version control concepts
• Understanding of RESTful APIs and JSON data processing
• Knowledge of Generative AI & LLM basics: use cases, limitations, and applications
• Prompt engineering fundamentals: tuning, testing, and optimization techniques
• Experience with AI automation tools (N8n, Airflow, or similar workflow orchestration tools) is a plus
• Clear written and verbal communication skills for technical documentation
• Awareness of AI ethics and responsible AI practices