AI Engineer I at MicroStrategy | TopGenAIJobs

AI Engineer I

MicroStrategy

Mumbai / Pune

2-3 years

Today

₹8–19 LPA

Full-time

Onsite

Skills Required

OpenAI

Azure OpenAI

LLM

Vector Database

RAG

Python

FastAPI

AWS

Azure

GCP

Docker

Git

Text Embedding

Description

We are looking for a highly skilled AI Engineer to join our team and contribute to the development of AI-powered solutions.

Company: MicroStrategy

Role: AI Engineer I

Location: Pune, India | Full-time

Experience:

2-3 years of hands-on experience in Python software development
Experience developing and maintaining RESTful APIs using FastAPI
Experience in implementing LLMs (OpenAI, Azure) using vector databases, text embedding, and RAG

Key Skills:

Python
REST API development
cloud infrastructure
AI model integration
FastAPI
Large Language Models (LLMs)
OpenAI
Azure OpenAI
relational databases
vector databases
text embedding
Docker
Git
AWS
Azure
GCP

Qualification:

Bachelor’s/Master’s degree in Computer Science or equivalent

Role Focus:

Develop, maintain, and optimize AI-driven applications using Python
Implement object-oriented programming, module creation, and unit testing
Design and build RESTful APIs with FastAPI
Interface with relational and vector databases
Implement text embedding techniques
Deploy and manage AI applications on cloud platforms
Utilize Docker for containerization
Collaborate with cross-functional teams using Git

Nice to have:

Familiarity with data visualization tools

Other:

Full time work from Pune office 5 days a week
The recruitment process includes online assessments as a first step

Prepare for this role

Recommended resources to build the skills for this position. Sponsored.

Python for Everybody Specialization

Coursera

Learn Python from scratch — variables, data structures, web scraping, and databases.

Python 3 Programming Specialization

Coursera

Intermediate Python covering classes, inheritance, APIs, and data processing.

Generative AI with Large Language Models

Coursera

Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.