Verified IT Work Experience Program

AI & Generative Model Engineering Internship

Build production AI applications, RAG pipelines, fine-tuned models, and LLM-powered agents.

3 - 6 Months
Online / On-site
Experience Letter + LOR
1-on-1 Lead Mentorship
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Role Overview

Enter the forefront of technology with our AI & Generative Model Engineering internship program. Build production-grade AI agents, enterprise RAG knowledge bases, and fine-tuned open-source model pipelines under the mentorship of seasoned AI researchers and engineers.

Tools & Stack You Will Use

Python PyTorch LangChain LlamaIndex Vector DBs (Pinecone/Qdrant) OpenAI/Claude API FastAPI Docker

What You Will Receive

  • Verified Experience Certificate: Company-issued credential recognizing duration.
  • Letter of Recommendation (LOR): Signed recommendation from tech lead for top performers.
  • Production GitHub Repos: Live pull requests, commits, and verified public repositories.
  • Interview & Placement Support: Direct client interview opportunities & referrals.

Eligibility & Candidates

  • Final year & pre-final engineering/IT students
  • Fresh graduates looking for company experience
  • Career switchers seeking real-world portfolios

Commercial Projects You Will Build

Real-world product blueprints and enterprise deliverables

1 AI Workspace & Engineering Foundations

Live Milestone
  • Python AI stack setup (UV, Poetry, CUDA GPU environments, Jupyter Lab)
  • Git Flow, PR workflows & Agile sprint planning in Jira
  • Overview of modern GenAI stack: LLM APIs, embeddings & vector stores
  • Tokenomics, model context windows, prompt engineering & system instructions

2 RAG (Retrieval-Augmented Generation) Architecture

Live Milestone
  • Document ingestion, chunking strategies & semantic embedding generation
  • Vector database operations using Qdrant / Pinecone / ChromaDB
  • Hybrid search (Dense + Sparse/BM25) and re-ranking models (Cohere Rerank)
  • Building production RAG pipelines with LangChain and LlamaIndex

3 Autonomous AI Agents & Function Calling

Live Milestone
  • Building tool-augmented AI agents with LangGraph and CrewAI
  • Function calling / Tool use (executing SQL queries, searching web, sending emails)
  • Multi-agent collaboration architectures with structured handoffs
  • State persistence, memory management & human-in-the-loop validation

4 Model Evaluation, Fine-Tuning & Quantization

Live Milestone
  • Evaluating LLM outputs with Ragas & TruLens (faithfulness, relevancy, hallucinations)
  • Parameter-Efficient Fine-Tuning (PEFT / LoRA / QLoRA) on open-source models (Llama 3, Mistral)
  • Model quantization (GGUF, AWQ) for low-cost local and cloud inference
  • Serving models with vLLM / Ollama for high-throughput batch generation

5 Production API Integration & Guardrails

Live Milestone
  • Wrapping AI pipelines in high-speed FastAPI endpoints with SSE streaming
  • Implementing safety guardrails (NeMo Guardrails, Llama Guard) against prompt injection
  • Async queue handling with Redis/Celery for long-running generation jobs
  • Observability and LLM tracing using Langfuse / Phoenix

6 Cloud Deployment & Live Capstone Delivery

Live Milestone
  • Containerizing AI microservices with GPU-accelerated Docker images
  • Deploying to cloud platforms (AWS EC2 GPU instances, Modal, RunPod)
  • CI/CD automation with GitHub Actions and model registry management
  • Final capstone demo, client technical presentation & verified GitHub portfolio sign-off

Agile Work Culture & Daily Routine

How you collaborate inside your developer pod each week

1

Daily Standups & Sprints

Participate in 15-minute morning standups, track sprint backlog items in Jira, and define daily feature goals.

2

Feature Engineering

Write clean, modular code following design patterns, database migrations, and API contract specifications.

3

PR Reviews & Quality Gates

Submit GitHub pull requests, receive 1-on-1 feedback from senior tech leads, and pass automated CI test pipelines.

4

Cloud Staging & Demo

Deploy live containerized features to cloud staging environments and demonstrate working software during sprint reviews.

Local Internship Campuses & Dev Centers

In-person & hybrid developer seats in Coimbatore & Chennai

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Career & Skill Roadmaps:

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Limited Seats Per Batch

Start Your Professional Journey Today

Join our AI & Generative Model Engineering Internship and gain verified company work experience, senior mentorship, and a production-grade portfolio.

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