About Droisys

Droisys is a dynamic, fast-growing technology company dedicated to delivering cutting-edge solutions to clients worldwide. We pride ourselves on innovation, collaboration, and exceptional client service. We are seeking a highly organized, outgoing, and proactive Assistant Coordinator to support our management team and ensure seamless communication with clients.

This role is ideal for someone who thrives in a fast-paced environment, enjoys engaging with people, and can balance multiple priorities with professionalism.

: Applied AI Intern

Role: Applied AI Intern

Department: Artificial Intelligence / Engineering

Experience: Fresher / Internship

Employment Type: Internship

Location: Noida, India(Sector 63)

About the Role

We are looking for a motivated Applied AI Intern with strong Python and problem-solving skills and an interest in building practical AI applications. The ideal candidate should be eager to work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Optical Character Recognition (OCR), and open-source AI models to develop intelligent solutions for real-world problems.

Key Responsibilities

- Develop and maintain AI applications using Python.
- Work with LLMs for text generation, summarization, information extraction, and intelligent automation.
- Build and improve RAG pipelines for document retrieval, semantic search, and question answering.
- Implement OCR solutions to extract structured information from images, scanned documents, and PDFs.
- Explore and integrate open-source LLMs and vision models into AI applications.
- Evaluate model performance and experiment with different models, prompts, and inference strategies.
- Process and transform unstructured data for AI-powered applications.
- Apply Data Structures and Algorithms (DSA) to develop effective and scalable solutions.
- Integrate AI models and services through REST APIs.
- Debug, test, and optimize AI workflows in collaboration with the engineering team.





Required Skills

- Python: Strong fundamentals, object-oriented programming, exception handling, and familiarity with common Python libraries.
- LLMs: Basic understanding of Large Language Models, prompt engineering, and model APIs.
- RAG: Understanding of embeddings, document chunking, vector search, and retrieval pipelines.
- OCR: Familiarity with extracting text from images and PDFs using OCR tools or libraries.
- Open-Source Models: Basic familiarity with open-source LLMs and vision models, such as Llama, Mistral, Qwen, or DeepSeek, and an interest in using them in practical applications.
- DSA: Understanding of arrays, strings, hash maps, stacks, queues, trees, searching, sorting, and time and space complexity.
- APIs: Basic knowledge of REST APIs, HTTP methods, and JSON.
- Problem-Solving: Strong analytical thinking, debugging, and logical reasoning skills.
- Version Control: Basic familiarity with Git and GitHub.

Good to Have

- Experience with Hugging Face Transformers and model inference.
- Familiarity with LangChain or LangGraph.
- Experience with vector databases such as FAISS, Chroma, or OpenSearch.
- Familiarity with OCR tools such as Tesseract, EasyOCR, PaddleOCR, or other vision-language models.
- Basic knowledge of FastAPI and backend development.
- Exposure to local model deployment or inference tools such as Ollama or vLLM.
- Understanding of machine learning, deep learning, and Natural Language Processing (NLP).
- Academic or personal projects involving LLMs, RAG, OCR, document intelligence, or AI automation.

Eligibility





- Pursuing or recently completed a degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
- Strong programming fundamentals and a willingness to learn new AI technologies.
- Academic projects, personal projects, or contributions to open-source repositories are an advantage.

What You Will Gain

- Hands-on experience developing real-world AI applications.
- Practical exposure to LLMs, RAG architectures, OCR pipelines, and open-source AI models.
- Experience integrating AI models into Python applications and APIs.
- Opportunities to experiment with model evaluation, inference optimization, and document intelligence.
- Mentorship and experience solving practical engineering challenges.

Ideal Candidate A curious and technically strong individual with good Python and DSA fundamentals who is enthusiastic about exploring AI technologies and applying them to real-world engineering problems. The candidate should be willing to experiment, learn quickly, and build practical solutions using both open-source models and AI APIs. At Droisys, we believe in creating an inclusive and collaborative workplace where every team member has the opportunity to grow. We are an equal opportunity employer that values diversity, inclusion, and belonging. We welcome candidates of all backgrounds and do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by law.

Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

📌 Artificial Intelligence Intern (Noida)
🏢 Droisys
📍 Noida