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Artificial Intelligence Engineer

Artificial Intelligence Engineer

CodeAtRandomvapi, gujarat, in
8 days ago
Job description

🚀 About Code at Random

Code At Random is an early-stage startup building an AI-driven Edtech platform — that helps learners, students, and professionals upskill, find opportunities, and grow.

We’re building the web platform that powers this mission — with a strong focus on learning analytics, community interaction, and AI-driven personalization.

🧠 Role Overview

As an AI Engineer Intern , you’ll work closely with the founder and development team to design, train, and deploy the AI models behind our product.

You’ll handle everything from data collection → model experimentation → API deployment — in a fast-moving, startup-style environment.

⚙️ Key Responsibilities

Develop and fine-tune ML / NLP models for :

  • Personalized learning recommendations
  • Career & skill path prediction
  • Resume / job matching
  • Sentiment analysis of community discussions
  • Work on data preprocessing, cleaning, and labeling pipelines
  • Implement vector databases (e.g., Pinecone, ChromaDB, Weaviate) for embeddings
  • Integrate LLM APIs (OpenAI, Anthropic, Gemini, Hugging Face) into backend services
  • Experiment with RAG (Retrieval-Augmented Generation) and context retrieval systems
  • Build and expose model endpoints as REST APIs or via FastAPI / Flask
  • Collaborate with the full-stack developer to integrate AI into the web frontend
  • Track model performance, accuracy, and improvement over time
  • Maintain experiments and results documentation on Notion / ClickUp

🧩 Required Technical Skills

🧮 Core Machine Learning & NLP

  • Python (NumPy, pandas, scikit-learn)
  • NLP libraries : Hugging Face Transformers, spaCy, NLTK
  • Vector embeddings : Sentence Transformers, OpenAI Embeddings
  • Model evaluation & fine-tuning (classification, recommendation, similarity)
  • ⚙️ AI Systems & Deployment

  • Building APIs with FastAPI / Flask
  • Familiar with Docker and containerization
  • Knowledge of Git / GitHub workflows
  • Understanding of cloud deployment (Azure / AWS / GCP / Vercel)
  • 🧠 LLM Integration & Prompt Engineering

  • Experience using OpenAI API, Gemini, Claude, or similar LLMs
  • Prompt design and evaluation for dynamic user interactions
  • Understanding of RAG systems, embeddings, and context retrieval
  • 🗃️ Data & Storage

  • Familiarity with SQL / NoSQL databases
  • Knowledge of Vector DBs (Chroma, Pinecone, Weaviate)
  • Basic understanding of data pipelines and preprocessing tools
  • 🌱 Good to Have

  • Experience with LangChain / LlamaIndex / Haystack
  • Understanding of recommendation systems
  • Exposure to knowledge graph / semantic search concepts
  • Basic experience in AI evaluation metrics and MLOps fundamentals
  • Familiarity with Azure Cognitive Services or OpenAI on Azure
  • 🧩 Tools You’ll Work With

  • 🧠 Hugging Face, OpenAI API, LangChain
  • 🧩 FastAPI, Flask, ChromaDB
  • 🧮 Python, scikit-learn, PyTorch, pandas
  • 💾 GitHub
  • 🎯 What You’ll Learn / Gain

  • Build end-to-end AI features that ship to real users
  • Learn RAG and LLM pipeline integration in production
  • Work on secure, cloud-based dev environments
  • Collaborate directly with the founder and engineers
  • Get exposure to both AI system design and product thinking
  • 🕒 Work Setup

  • Weekly goals + progress reviews
  • Must have good Wi-Fi connection [minimum 40Mbps]
  • Kindly fill-up the Google form and submit your details : https : / / forms.gle / b3vAXhcBGazW9pco8

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    Artificial Intelligence Engineer • vapi, gujarat, in

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