AI Engineer Intern at Brainwonders

Kolkata, west bengal, India -

Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

0.0

Posted On

21 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Large Language Models, AI Agents, Machine Learning Fundamentals, Transformers, Cloud Deployment, AWS, Python Programming, Pandas, NumPy, Hugging Face, LangChain, Agent Frameworks, Model Deployment, Vector Stores, Prompt Engineering, Fine-Tuning

Industry

Education Administration Programs

Description

Company Description BRAINWONDERS About Company: At Brainwonders, we are proud to be India’s largest career counselling and guidance company, recognized for our commitment to transforming students' futures. With 1223+ educational institutes using our services, 93+ corporate connections, and 108+ franchisees, we have built an expansive network of support for students, educators, and professionals. Brainwonders has earned numerous national and regional awards for excellence in career counselling and guidance, and is consistently rated as one of the highest-paying employers in the counselling industry by various job portals. Job Description Job Description AI Engineer Intern – LLMs, Agents, AWS Position: AI Engineer Intern Experience: 0-1 Year (Final-year students or freshers welcome) Location: Borivali East, Mumbai Type: Internship (3–6 months) | Possibility of Full-time Offer 🧠 Focus Areas: Large Language Models (LLMs) AI Agents / Autonomous Systems ML Fundamentals & Transformers Cloud Deployment & Scaling (AWS) 🎯 Responsibilities: Build and test LLM-based applications and workflows. Experiment with agent frameworks (e.g., LangGraph, CrewAI). Use and adapt transformer models (e.g., LLaMA, Mistral) for domain tasks. Deploy models and services on AWS (Lambda, EC2, SageMaker). Work with vector stores and embeddings for search or RAG-based systems. Collaborate on prompt engineering, fine-tuning, and pipeline optimization. ✅ Requirements: Solid understanding of LLMs, tokenization, transformers. Python programming (Pandas, NumPy, Hugging Face, LangChain, etc.). Exposure to AWS services like EC2, Lambda, S3, or SageMaker. Eagerness to explore real-world AI use cases (agents, copilots, RAG). Basic ML knowledge and hands-on project experience. 💡 Good to know: Experience with serverless deployments on AWS. Familiarity with monitoring and logging (e.g., CloudWatch, OpenTelemetry). Contributions to open-source AI tools or models

Responsibilities

The intern will build and test applications based on large language models and experiment with various agent frameworks. They will also deploy models and services on AWS and collaborate on optimizing AI workflows.