How the job actually works

Remote-First Culture

Work from anywhere, with flexible hours.

Learning & Development

Continuous learning and skill programmes.

Work-Life Balance

Flexible schedules and time off.

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. Hands-on Claude Code and GitHub skills are a must: you will build, ship and deploy solutions from scratch with Claude Code.

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
- Build AI agents and full solutions from scratch with Claude Code, then deploy them to production from within Claude Code
- Manage GitHub repositories, branches and pull requests, and automate builds, tests and deployments through CI/CD pipelines

Must-have: Claude Code & GitHub

- Claude Code: hands-on use for building solutions end to end, from an empty repo to a working product
- Claude Code commands: slash commands, custom commands, skills, hooks, subagents, MCP servers and CLAUDE.md project memory
- Implementing AI agents with Claude Code: planning, writing, testing and iterating on agent code




- Writing: explicit prompts, specs, CLAUDE.md instructions and technical documentation that Claude Code can act on
- Deployment from Claude Code itself: shipping to cloud servers and Docker containers over SSH, and verifying the live result
- GitHub management: repositories, branches, pull requests, code reviews, issues and access control
- GitHub automation: GitHub Actions workflows and the GitHub CLI (gh)
- CI/CD pipelines: automated build, test and deployment pipelines

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

📌 AI Engineer Intern (India)
🏢 Splashgain
📍 India