Intern

Eyeota; Mumbai; On-site; INR 167,000 - 335,000; Part time

Job summary

Eyeota in Mumbai is seeking an AI Intern for a 3-month tenure. You will collaborate with cross-functional teams to design, develop, and deploy end-to-end Agentic AI solutions, and you will build scalable middleware and microservices that integrate APIs, AI models, databases, and cloud platforms.

You will gain hands-on experience with Python, PySpark, Generative AI, LangChain, and cloud-native solutions on AWS or GCP, while mentoring junior engineers and contributing to internal AI frameworks.

Qualifications

• Bachelor's or Master's degree in computer science, engineering, data science, or a related field.
• Strong proficiency in Python and PySpark with hands-on AI experience.
• Experience with Generative AI, RAG architectures, and prompt engineering.
• Cloud experience on AWS and/or GCP; familiarity with vector databases is a plus.
• Familiarity with Git workflows and collaborative development in agile teams.

Responsibilities

• Collaborate with cross-functional teams to design, develop, and deploy end-to-end Agentic AI solutions.
• Build and maintain middleware and microservices integrating APIs, AI models, databases, and cloud platforms.
• Ensure the reliability, observability, security, and governance of AI systems in production.
• Mentor junior engineers and contribute to internal AI frameworks and accelerators.

Skills

Python

PySpark

Generative AI

RAG architectures

LangGraph

LangChain

Prompt engineering

AWS / GCP

Vector databases

Git / GitHub / Bitbucket

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

Git

GitHub

Bitbucket

Docker

Kubernetes

Job description

Job Summary

Designation: AI Intern

Location: Mumbai

Function: Operations

SBU: AI Automation

Tenure: 3 months

Key Responsibilities

• Collaborate with cross-functional teams to design, develop, and deploy end-to-end Agentic AI solutions for diverse enterprise use cases.
• Build and maintain robust, scalable middleware and microservices that seamlessly integrate APIs, AI/ML models, databases, and cloud platforms.
• Ensure the reliability, observability, security, compliance, and performance of AI systems in production environments through effective monitoring and governance practices.
• Mentor junior engineers, provide technical guidance, and contribute to the development of internal AI frameworks, accelerators, and enablement initiatives.

Key Requirements

• Bachelor's or master's degree in computer science, Engineering, Data Science, or a related field.
• Demonstrated expertise in Python, PySpark, Generative AI technologies, RAG architectures, LangGraph, LangChain, and prompt engineering.
• Hands-on experience working with cloud-native solutions on AWS and/or GCP.
• Knowledge of vector databases such as Qdrant and Chroma is a strong advantage.
• Solid understanding of version control systems and collaborative development practices using Git, GitHub, and Bitbucket.
• Ability to translate business requirements into scalable, production-ready AI solutions and contribute effectively within agile teams.