Backend Python Engineer - AI-Driven MVPs

Overseas

Rosario

On-site

ARS 64,569,000 - 110,689,000

Full time

3 days ago
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Job summary

Overseas in Rosario, Argentina is seeking a Backend Developer with strong Python experience and a passion for solving problems using modern AI tools. You will build scalable backend services and APIs, integrating third-party services via REST/GraphQL while working with NoSQL and relational databases.

You will help deploy services to AWS (Lambda, API Gateway) and explore AI-powered code generation to speed MVP creation, collaborating with the team to deliver robust architecture and efficient

Qualifications

  • More than 4 years of Python development experience.
  • Experience with NoSQL databases (MongoDB, DynamoDB).
  • Proficiency with Relational Databases (PostgreSQL, MySQL).
  • Experience with API integrations using REST and/or GraphQL.
  • Strong communication skills in English (Advanced/Bilingual).

Responsibilities

  • Develop and maintain backend services and APIs for our core application.
  • Integrate third-party services using REST and/or GraphQL.
  • Work with NoSQL and relational databases, ensuring efficient data modeling and query performance.
  • Collaborate with the team on deploying services to AWS (Lambda, API Gateway, etc.).
  • Suggest and experiment with AI-based tooling for rapid development and smart code generation.
  • Bring fresh ideas and pragmatic solutions to enhance the backend architecture and development pipeline.

Skills

Python
English communication

Tools

MongoDB
DynamoDB
PostgreSQL
MySQL
REST
GraphQL
AWS Lambda
API Gateway
AI-powered code generation tools
Node.js
Java

Job description

Overseas in Rosario, Argentina is seeking a Backend Developer with strong Python experience and a passion for solving problems using modern AI tools. You will build scalable backend services and APIs, integrating third-party services via REST/GraphQL while working with NoSQL and relational databases.

You will help deploy services to AWS (Lambda, API Gateway) and explore AI-powered code generation to speed MVP creation, collaborating with the team to deliver robust architecture and efficient

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