AI Engineer Intern

Augle AI is hiring an

AI Intern

to work on real-world AI systems for intelligent automation and manufacturing. You will build backend services, data pipelines, and LLM-powered features such as RAG systems and autonomous agents using modern AI frameworks and databases.

Key Responsibilities

Develop backend APIs and services using

FastAPI

.

Build browser automation and data collection workflows using

Playwright

.

Perform

data processing, cleaning, and transformation

for AI pipelines.

Implement

RAG pipelines

and LLM-based

agents

for intelligent workflows.

Integrate and optimize

OpenAI

and

Gemini

APIs.

Design and manage databases using

MongoDB, PostgreSQL, and Neo4j

.

Write clean, testable code and maintain technical documentation.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or currently in the final year of a Bachelor’s program.

Strong

Python

skills with experience in

FastAPI

.

Hands-on experience with

Playwright

and data cleaning pipelines.

Practical understanding of

RAG, LLM agents, and prompt engineering

.

Experience with

MongoDB, PostgreSQL, and Neo4j

.

Familiarity with REST APIs, Git, and basic deployment workflows.

Ability to learn quickly and work in a fast-paced startup environment.

Why Join Augle AI?

Competitive stipend:

We offer a competitive salary package that reflects your skills and experience.

Innovative Environment:

Work with cutting-edge AI and robotics technology.

Professional Growth:

Gain hands-on experience within the AI and manufacturing sectors.

PPO Opportunity:

Offered based on performance during the internship.

Collaborative Team:

Join a team of passionate professionals committed to innovation and excellence.

Impactful Work:

Contribute to projects that drive significant advancements in manufacturing technology.

Internship Details:

Pune/Mumbai (On-site, Full-time)

6 Months

Workdays:

Monday to Saturday

Working Hours:

10:00 AM – 6:30 PM

As per the skills & experience of the candidate.

If you’re excited to build real-world AI systems using LLMs, RAG, and agents, apply now and help shape the future of intelligent factory automation.