About the Role
We are looking for a passionate and driven AI Engineer (Intern/Fresher/Experienced) with hands-on experience or strong academic exposure in RAG (Retrieval-Augmented Generation) approaches. You will work closely with our AI and product teams to design, prototype, and optimize intelligent solutions that integrate language models with structured/unstructured knowledge sources. This is a great chance to build impactful AI systems and work with contemporary NLP tools in real-world production environments.

Responsibilities
Design and build AI applications using RAG-based architecturesFine-tune and integrate LLMs (eg, OpenAI, LLaMA, Mistral, etc) with external data sources
Build and optimize pipelines for document ingestion, chunking, vector embedding, and retrieval
Implement and experiment with tools like LangChain, Haystack, Weaviate, Pinecone, Chroma, FAISS
Develop and maintain RESTful APIs and web applications using Python frameworks such as Flask or FastAPI
Collaborate with frontend/backend teams to integrate AI into live products
Conduct evaluations, benchmark performance, and recommend improvements
Work with team leads to convert PoCs into scalable solutions

Requirements
For Interns Freshers:




Strong academic background in AI/ML/NLP or relevant projects
Familiarity with Python, Transformers, vector databases, and APIs
Knowledge of tools like Power BI and SQL for analytics and reporting
Strong interest in working with LLMs, LangChain, and RAG-based AI solutions

For Experienced (2+ Years):
Proven experience in building or contributing to AI products using RAG architecture
Strong proficiency in Python for data manipulation and API development
Experience in RESTful API development using Flask or FastAPI
Solid knowledge of SQL, data analytics, and Power BI
Hands-on experience with version control (Git) and deployment tools
Exposure to cloud platforms such as AWS is a robust plus
Excellent problem-solving and communication skills

What You'll Gain
Opportunity to work on cutting-edge AI projects with real-world users
Exposure to both product delivery and research-level challenges
Mentorship from experienced AI Engineers and Product Leads
Flat team structure, creative freedom, and a learning-oriented culture

Job Type: Full-Time Internship

Location: New Delhi (Work from Office)

📌 Ai Engineer Rag Intern /fresher / Experienced Delhi
🏢 Taxmann Publications
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