Senior Python Backend Engineer - AI-Driven

Italent Connection; Argentina; Remote; ARS 136,430,000 - 227,383,000; Full time

Benefits offered by this job

Remote-first culture

Flexible hours

Competitive compensation

Global team

Professional growth opportunities

Job summary

I talent Connection seeks an experienced backend engineer to design, develop, and maintain Python backends (FastAPI, Flask, or Tornado) with AI-augmented workflows. You will build RESTful APIs, work with SQL databases via SQLAlchemy, and apply unit tests to ensure reliability.

The role emphasizes collaboration in a remote-first environment, evaluating candidates, and contributing to architectural decisions. A strong CS foundation and passion for AI-powered development are essential.

Qualifications

• Proven experience building production-grade Python backends.
• -Strong REST API design and database skills.

Responsibilities

• Collaborate with the development team to design, develop, and maintain backend Python solutions.
• Prototype AI-driven flows and integrate them into backend systems.
• Design and maintain APIs and data models using relational databases and ORMs.
• Lead code reviews and pair programming to ensure code quality.
• Contribute to technical interviews and mentor junior engineers.

Skills

Python backend

FastAPI

REST APIs

SQLAlchemy

Unit testing

AI tooling

Code reviews

Team leadership

Remote collaboration

English comms

Education

Bachelor's degree in Computer Science or related field

Tools

SQLAlchemy

Unittest

pytest

Behave

GitHub

Datadog

Sentry

CloudWatch

LangChain

LlamaIndex

OpenAI functions

Copilot

Job description

I talent Connection seeks an experienced backend engineer to design, develop, and maintain Python backends (FastAPI, Flask, or Tornado) with AI-augmented workflows. You will build RESTful APIs, work with SQL databases via SQLAlchemy, and apply unit tests to ensure reliability.

The role emphasizes collaboration in a remote-first environment, evaluating candidates, and contributing to architectural decisions. A strong CS foundation and passion for AI-powered development are essential.