Requirements
Education
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Bachelor/Honors, Bachelor of Science (BSc), cse
Additional Requirements
Education
Additional Requirements
Core Technical Skills (Required):
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Strong grasp of Python with clean, modular coding habits
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Familiarity with FastAPI and asynchronous programming
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Interest in or experience working with LLM APIs (OpenAI, Claude, etc.)
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Basic understanding of vector search technologies like FAISS, ChromaDB, or Pinecone
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Knowledge of REST API design and integration principles
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Enthusiasm for experimenting with emerging tools and AI methodologies
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Good communication and problem-solving abilities
Bonus Skills (Optional but Valuable):
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Experience with LangChain, LLM orchestration, or prompt engineering
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Basic exposure to DevOps, containerization (Docker), or cloud platforms
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Background in automation scripts, data pipelines, or AI agent development
What Helps You Succeed:
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A strong passion for real-world AI projects and a desire to learn quickly
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Ability to thrive in a fast-paced, team-oriented environment
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Curiosity to explore and test cutting-edge technologies
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A proactive, ownership-driven mindset
Responsibilities & Context
Job Context:
We’re seeking a curious, innovative AI Agent & Data Engineering Intern to join our expanding AI Engineering team. This isn’t a role for repetitive tasks—it’s an opportunity to help build the next generation of intelligent systems. You’ll work across LLMs, retrieval-augmented generation (RAG), multi-chain reasoning (MCP), custom chatbot development, and automation workflows, contributing directly to real, production-ready products.
Key Responsibilities:
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Design and develop Retrieval-Augmented Generation (RAG) pipelines using vector stores such as ChromaDB, FAISS, or Pinecone
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Work with leading LLM platforms (OpenAI, Claude, HuggingFace, Ollama) to create prompt-driven intelligent interfaces
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Build RESTful APIs with FastAPI to expose AI modules and enable automated backend operations
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Implement multi-chain processing (MCP) with LangChain or related frameworks
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Create and customize chatbots for internal tools as well as customer-facing applications
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Write automation scripts for data processing, workflow orchestration, and system integration
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Contribute to internal developer tools for testing, evaluating, and scaling AI components
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Develop SQL-driven agents that can perform automated database reasoning and query generation
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Build chatbots that respect row-level security and deliver results according to user access permissions
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Work with YelloV8 (or comparable LLM-based execution engines) to support AI-powered automation and reasoning pipelines
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Conduct web scraping for data gathering, enrichment, and automated information extraction
Compensation & Other Benefits
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Salary Review: Half Yearly
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Lunch Facilities: Partially subsidize
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Festival Bonus: 1
Other Benefits
- Two-day weekends (Friday and Saturday)
- Fully subsidized lunch provided
- Company SIM card with monthly mobile expenses covered
- A supportive team environment with training and growth opportunities
- Potential for full-time employment upon successful completion of the internship, including regular salary and benefits according to company policy
Work Place
Work from Office
Employment Status
Type:
Full Time/Permanent
Shift:
Day Shift
