AI Intern

Company Name : BRAINWONDERS
Experience: 01 Year & Freshers / 2026 Pass-outs can apply)
Location: Churchgate
Type: Internship 6 months Possibility of Full-time 

Focus Areas: 
-- Large Language Models (LLMs)
-- Agentic AI & Autonomous Systems
-- Multi-Agent Systems & Agent Orchestration
-- ML Fundamentals & Transformers
-- RAG Embeddings & Vector Databases
-- Cloud Deployment & Scaling on AWS 

Responsibilities
Build and test LLM-powered applications AI agents and autonomous workflows. 
Design and implement agentic AI systems capable of planning reasoning tool use and task execution. 
Develop multi-agent systems where multiple specialized agents collaborate to solve complex tasks.
Experiment with agent frameworks such as LangGraph CrewAI LangChain and other emerging agentic AI frameworks.
Implement agent memory state management task decomposition planning routing and orchestration. 
Integrate agents with external tools APIs databases search systems and other services using function/tool calling. 
Explore Model Context Protocol (MCP) and other approaches for connecting AI agents with external tools and data sources. 
Use and adapt transformer-based models such as LLaMA Mistral and other open-source or proprietary LLMs for domain-specific applications. 
Build RAG pipelines using embeddings and vector databases for knowledge retrieval and contextual reasoning. 
Deploy AI models agents and supporting services on AWS (Lambda EC2 S3 SageMaker etc.). 
Work on prompt engineering structured outputs fine-tuning model selection and pipeline optimization. 
Develop evaluation strategies to measure agent accuracy reliability latency cost and task completion. 
Implement monitoring logging and debugging for LLM and agentic workflows. 
Collaborate with the team to prototype and productionize AI copilots autonomous workflows and intelligent automation systems.

Requirements :
Strong understanding of LLMs tokenization transformers embeddings and generative AI fundamentals. Good Python programming skills. 
Familiarity with tools/libraries such as Pandas NumPy Hugging Face LangChain LangGraph or CrewAI. Understanding of AI agent concepts including tool calling planning reasoning memory state and orchestration. 
Basic understanding of multi-agent architectures and how multiple agents can collaborate or delegate tasks. 
Familiarity with RAG vector databases semantic search and embeddings. 
Exposure to AWS services such as **EC2 Lambda S3 ** 
Basic knowledge of machine learning and hands-on project experience. 
Ability to build and debug end-to-end AI applications. 
Strong curiosity and willingness to experiment with rapidly evolving agentic AI technologies.

Good to Have 
Hands-on experience building an AI agent or multi-agent system. 
Experience with LangGraph CrewAI AutoGen or similar agent frameworks. 
Experience implementing tool/function calling and agentAPI integrations. 
Familiarity with MCP (Model Context Protocol). 
Experience with agent memory state management planning routing and workflow orchestration. 
Experience with Docker 
Experience evaluating LLMs or agents using automated evaluation frameworks. 
Contributions to open-source AI tools models agents or frameworks. 
Personal projects involving LLMs RAG AI agents or multi-agent systems 

Internship Details 
Location: Churchgate 
 Working Days: Monday to Saturday 
Working Hours: 10:00 AM 7:00 PM
 Duration: 6 Months Stipend: 10-25k per month ( Based upon skillset) 

Additional Information :

Remote Work :

No

Employment Type :

Full-time