AI Engineer Intern

Augle AI; Pune District; On-site; INR 200,000 - 320,000; Full time

Job summary

Augle AI is seeking a student or graduate in computer science to develop backend services using FastAPI and build automated browser workflows with Playwright. You will transform raw data for AI model training and construct RAG systems with LLM agents for complex workflows.

The role involves integrating OpenAI and Gemini APIs and managing data stores across MongoDB, PostgreSQL, and Neo4j, while producing clean, tested code and up-to-date documentation.

Qualifications

• Final year student or holder of a CS/SE degree
• Solid Python and FastAPI experience
• Experience with Playwright for automation and data cleaning workflows
• Knowledge of RAG systems, LLM agents, and prompt engineering
• Experience with MongoDB, PostgreSQL, Neo4j
• Familiarity with REST API design, Git, and deployment basics
• Ability to learn quickly in a startup setting

Responsibilities

• Create backend services and APIs using FastAPI to support core platform functionality
• Build automated browser interactions and data gathering systems with Playwright
• Transform raw data through cleaning, processing, and structuring steps needed for AI model training
• Construct retrieval-augmented generation (RAG) systems and deploy language model agents that handle complex workflows
• Connect and fine-tune integrations with OpenAI and Gemini API services
• Set up, design, and maintain data stores across MongoDB, PostgreSQL, and Neo4j
• Produce well-structured, tested code and keep technical documentation current

Skills

Python

FastAPI

Playwright

LLM agents

REST API design

Git

Education

Final year Bachelor's in Computer Science / related

Tools

MongoDB

PostgreSQL

Neo4j

OpenAI API

Gemini API

Job description

Batch: 2025/2026/2027.

About the role:

• Create backend services and APIs using FastAPI to support core platform functionality
• Build automated browser interactions and data gathering systems with Playwright
• Transform raw data through cleaning, processing, and structuring steps needed for AI model training
• Construct retrieval-augmented generation (RAG) systems and deploy language model agents that handle complex workflows
• Connect and fine-tune integrations with OpenAI and Gemini API services
• Set up, design, and maintain data stores across MongoDB, PostgreSQL, and Neo4j
• Produce well-structured, tested code and keep technical documentation current

What we're looking for:

• Currently in the final year of a Bachelor's degree in Computer Science, Software Engineering, or related discipline, or hold a Bachelor's or Master's degree in one of these fields
• Solid command of Python with demonstrated experience building with FastAPI
• Proven background using Playwright for automation and developing data cleaning workflows
• Working knowledge of RAG systems, LLM agents, and the practice of prompt engineering
• Practical experience managing data in MongoDB, PostgreSQL, and Neo4j
• Comfort with REST API design, version control via Git, and basic deployment processes
• Capacity to pick up new tools and methods quickly while thriving in a startup setting