AI Intern

Posted 19 Hours Ago
Be an Early Applicant
Mumbai, Maharashtra, IND
In-Office
10K-25K Annually
Internship
Edtech • Professional Services
We are a nationally awarded testing and counselling centre specialising in DMIT, IQ, Aptitude and Career Counselling.
The Role
Build and test LLM applications, AI agents, multi-agent systems, RAG pipelines, and autonomous workflows. Integrate tools, APIs, databases, and vector search; experiment with agent frameworks, transformers, prompt engineering, evaluation, monitoring, and AWS deployment. Collaborate on prototyping and productionizing AI copilots and intelligent automation. Requires Python, machine learning, LLM, agentic AI, RAG, and AWS knowledge, with hands-on project experience preferred.
Summary Generated by Built In
Company Description

Brainwonders – India's Largest Career Counselling Company

Brainwonders is India's leading career counselling and guidance organization, helping students make informed academic and career decisions through scientifically validated psychometric and biometric assessments. Our services are trusted by educational institutions, parents, and students across the country.

With a strong presence in schools and colleges, Brainwonders is committed to empowering students by providing career guidance, counselling, and developmental support through a team of trained psychologists and counsellors.

We are looking for enthusiastic Psychology Interns who are passionate about working with students, learning professional counselling practices, and gaining real-world exposure in educational psychology.

Job Description

Company Name : BRAINWONDERS
Experience: 0–1 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 agent–API 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

 

 

Skills Required

  • Strong understanding of LLMs, tokenization, transformers, embeddings, and generative AI fundamentals
  • Good Python programming skills
  • Familiarity with 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 agent collaboration or delegation
  • Familiarity with RAG, vector databases, semantic search, and embeddings
  • Exposure to AWS services such as EC2, Lambda, and 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
  • Hands-on experience building an AI agent or multi-agent system
  • Experience with LangGraph, CrewAI, AutoGen, or similar agent frameworks
  • Experience implementing tool or function calling and agent-API integrations
  • Familiarity with Model Context Protocol (MCP)
  • 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
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The Company
HQ: Borivali West
66 Employees
Year Founded: 2011

What We Do

In March 2011, Brainwonders revolutionized the concept of educational counseling through DMIT i.e. Dermatoglyphics Multiple Intelligence Test. Founder, Mr. Manish Naidu planted the seeds of Brainwonders experiencing triumphs from his previous undertakings. With Brainwonders he further developed the idea and belief of contributing back to the public i.e. the society through the means of educational counseling. Since the last two years, DMIT has practically characterized this dream.‘The root of any great deed is a great thought’. Similarly, Brainwonders has been developed from a single great perception and is on its way to counsel every industry in India, to achieve perfection. Brainwonders is built on almost 12 years of involvement and know-how in the industry. This body is endorsed by very well experienced professionals and businessmen. Professionals with such rich experience in a variety of industries help the organization to adapt to the customer desires and requisites more rapidly. Popularity by word of mouth and search engine optimization are its key features for business expansion and reputation. On a global scenario, the world has come closer, which has accentuated the magnitude of Brainwonders to reach every customer at the earliest possible hour.

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