Role Overview
We are looking for a highly motivated AI Intern with a strong interest in Agentic AI, Large Language Models (LLMs), Generative AI, and Intelligent Automation. This internship offers the opportunity to work on production-grade AI applications, collaborate with experienced engineers, and build intelligent AI solutions that solve real-world business problems.
The ideal candidate is passionate about developing AI Agents, integrating LLMs into enterprise applications, automating complex workflows, and researching emerging AI technologies. You will work closely with our AI and VR/AR teams to build innovative products that combine conversational AI, autonomous agents, and immersive technologies.
Key Responsibilities
AI Agent Development
- Design, build, and optimize intelligent AI Agents capable of autonomous reasoning, planning, and task execution.
- Develop multi-agent workflows using modern Agentic AI frameworks.
- Build AI assistants, copilots, workflow automation systems, and enterprise AI solutions.
- Create Retrieval-Augmented Generation (RAG) pipelines for knowledge-based AI applications.
- Develop robust prompt engineering strategies to improve AI accuracy, reasoning, and reliability.
- Fine-tune prompts and optimize AI workflows for performance and scalability.
Generative AI Development
- Build AI-powered applications using Python and Large Language Models (LLMs).
- Integrate OpenAI, Gemini, Claude, or similar LLM APIs into enterprise applications.
- Develop AI-powered automation tools for business workflows.
- Work with Model Context Protocol (MCP) and AI tool integrations.
- Integrate AI services into existing software through REST APIs and modern API architectures.
AI Research & Innovation
- Research the latest advancements in Generative AI, Agentic AI, LLMs, and AI Automation.
- Evaluate emerging AI frameworks, tools, and models for product adoption.
- Prototype innovative AI use cases that enhance business productivity and user experience.
- Stay updated with industry trends and contribute ideas to improve existing AI products.
- Collaborate with product, software, and VR/AR teams to explore next-generation AI capabilities.
RequirementsMandatory Skills
- Strong programming skills in Python.
- Good understanding of Large Language Models (LLMs) and Generative AI.
- Strong knowledge of AI Agents and Agentic AI concepts.
- Hands-on experience with one or more Agentic AI frameworks, including:
- LangChain
- LangGraph
- CrewAI
- AutoGen
- LlamaIndex (Preferred)
- Strong understanding of Prompt Engineering, AI orchestration, and autonomous agent workflows.
- Knowledge of Retrieval-Augmented Generation (RAG).
- Experience integrating AI models using REST APIs.
- Understanding of AIOps concepts and AI workflow automation.
- Strong analytical thinking and problem-solving skills.
- Good communication and collaboration skills.
- Immediate joiners preferred.
Preferred Skills
Experience with any of the following will be an added advantage:
- MCP (Model Context Protocol)
- Vector Databases (FAISS, ChromaDB, Pinecone, Weaviate)
- OpenAI, Gemini, Claude, Azure OpenAI, or Hugging Face APIs
- Git & GitHub
- Docker
- AWS, Azure, or GCP
- Unity 3D or C# (preferred for AI + VR/AR integration)
- Computer Vision (OpenCV)
- Speech-to-Text (STT)
- Text-to-Speech (TTS)
- OCR
- Multimodal AI
Project Experience (Highly Preferred)
Candidates should have completed 2–3 practical AI projects such as:
- AI Agent
- Multi-Agent System
- AI Chatbot
- AI Copilot
- AI Workflow Automation Tool
- RAG-based Knowledge Assistant
- Document Q&A System
- Resume Analyzer
- Customer Support Assistant
- LLM-powered Productivity Tool
- AI Research Prototype
Pay: ₹10,000.00 - ₹18,000.00 per month
Work Location: In person
