Fullstack Engineer

Info Dinamica Inc

Charlotte, United States of America

yesterday

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Job location

Charlotte, United States of America

Tech stack

HTML

JavaScript

API

Artificial Intelligence

Airflow

Application Integration Architecture

Automation of Tests

Unit Testing

Azure

Bash

CSS

Cloud Computing

Databases

ETL

Relational Databases

Django

Amazon DynamoDB

JSON

Python

MongoDB

NoSQL

NumPy

Openshift

Performance Tuning

Powershell

TensorFlow

Swagger

SQL Databases

SQLAlchemy

Systems Integration

Talend

Openapi

Data Processing

Google Cloud Platform

Performance Testing

PyTorch

React

Flask

Large Language Models

Prompt Engineering

Backend

FastAPI

Pandas

Pytest

Containerization

Scikit Learn

Kubernetes

Cassandra

Kafka

Data Management

Front End Software Development

Api Design

REST

Es2015

Jasmine

Docker

Alteryx

Microservices

Requirements

Seeking a senior full stack engineer with strong Python and React experience.
Exposure to cloud platforms and working knowledge of GenAI/LLMs.
The role involves building, integrating, and testing backend services, front end applications, and AI-enabled APIs., Backend & Automation:
5+ years of hands-on experience with Python (3.x) and backend frameworks such as Django, Flask, or FastAPI
Experience with scripting and automation using Python, Bash, Shell, or PowerShell
Strong understanding of RESTful API development and testing (JSON, OpenAPI/Swagger)
Experience with ORM frameworks (Django ORM, SQLAlchemy)
Experience writing and maintaining unit tests (PyTest, unittest, nose)

Frontend:

5+ years of experience with JavaScript, primarily React
Strong fundamentals in HTML, CSS, and modern JavaScript (ES6+)
Experience integrating front-end applications with backend microservices and APIs
Familiarity with front-end testing frameworks (Jest, Jasmine, Karma)

Cloud, Containers & Databases:

Experience with Docker and Kubernetes/OpenShift
Exposure to cloud platforms such as Azure or Google Cloud Platform
Strong experience with relational databases (SQL, performance tuning, optimization)
Working experience with NoSQL databases (MongoDB, Cassandra, DynamoDB)

Data & AI Exposure:

Experience with data processing and automation using Python
Exposure to ETL pipelines and data platforms (Airflow, Kafka, Talend, Alteryx, etc.)
Experience in integrating and testing AI/ML or GenAI APIs
3+ years of exposure to Large Language Models (LLMs), including prompt engineering or API-based consumption
Familiarity with ML/data libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) is a plus

Top 3 Skills Required:

Python (Backend & Automation) strong hands-on development experience
React / JavaScript solid working knowledge (expert level not mandatory)
GenAI / LLM Exposure API usage, prompt engineering, or AI integration experience

Secondary / Nice to Have: