We are looking for a GenAI / LLM / Vision AI Intern to work with our AI engineering team on real-world AI applications involving Large Language Models, Vision LLMs, OCR, Document AI, RAG, and AI agents.

You will work with both text and visual data, experiment with open-source and commercial models, build prototypes, evaluate model performance, and contribute to practical AI solutions.

This is a hands-on engineering role for someone who wants to move beyond tutorials and gain experience building real AI systems.

WHAT YOU’LL WORK ON

- LLM & Vision LLM Applications
- Build and test applications using text LLMs, Vision LLMs, and multimodal AI models.
- OCR & Document Intelligence
- Work with OCR pipelines to extract text and structured information from documents, including scanned documents, images, forms, invoices, receipts, and handwritten content.
- Multimodal AI
- Experiment with models that understand both text and images, combining OCR, visual information, and LLM reasoning.
- RAG & Knowledge Systems
- Develop Retrieval-Augmented Generation pipelines using document processing, embeddings, vector search, and LLMs.
- LLM Evaluation
- Create test datasets and test cases, evaluate model responses, measure accuracy and consistency, and identify areas for improvement.
- Prompt Engineering
- Develop and optimize prompts, structured outputs, extraction instructions, and model workflows for specific use cases.
- Local & Open-Source Models
- Experiment with open-source LLM and Vision LLM models, including local inference where required.
- Data Preparation
- Collect, clean, structure, annotate, and prepare text, image, and document datasets for training and evaluation.
- Fine-Tuning & Model Experimentation
- Assist with fine-tuning and parameter-efficient adaptation of models where appropriate.
- AI Integration
- Integrate AI models and GenAI components through APIs into working applications and prototypes.

WHAT WE’RE LOOKING FOR





REQUIRED

- Python programming skills
- Good understanding of Machine Learning and NLP fundamentals
- Fundamental understanding of LLMs, Transformers, and Generative AI
- Basic understanding of Computer Vision and image processing
- Ability to work with APIs, JSON, datasets, and Python libraries
- Problem-solving and debugging skills
- Curiosity and willingness to experiment, learn, and iterate

GOOD TO HAVE

- Experience with PyTorch or Hugging Face Transformers
- Experience with OCR or document processing
- Exposure to Vision LLMs or multimodal models
- Experience with RAG, embeddings, vector databases, or LangChain
- Exposure to Ollama or local LLM deployment
- Understanding of LLM/VLM evaluation techniques
- Familiarity with OpenCV
- Familiarity with Git/GitHub
- Experience building AI/ML projects outside coursework

WHAT YOU’LL GET

- Hands-on experience building real-world GenAI and multimodal AI applications
- Exposure to LLMs, Vision LLMs, OCR, Document AI, RAG, and AI agents
- Opportunity to experiment with GPU infrastructure and open-source models
- Mentorship from experienced AI/ML engineers
- Experience working in a real AI startup setting
- Projects that can become part of your GenAI/AI portfolio
- Internship certificate and recommendation letter, based on performance
- Potential opportunity for continued engagement based on performance and business requirements

ABOUT CLARION ANALYTICS

Clarion Analytics builds operational AI systems for Asia Pacific enterprises, solving document processing bottlenecks, worker safety challenges, and multilingual customer service gaps. Founded by engineers from AI tech startups with successful exits, we develop systems designed specifically for regional operational environments, compliance requirements, and multilingual contexts.

Website: https://clarion.ai/
LinkedIn: https://www.linkedin.com/company/clarion-analytics-singapore/

Pay: ₹5,000.00 per month

Work Location: Remote

📌 Intern GenAI / LLM / Vision AI (India)
🏢 Clarion Analytics
📍 India