Python Backend Engineer for AI & Automation

Almosafer

Riyadh

On-site

SAR 120,000 - 180,000

Full time

14 days+

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Job summary

Almosafer is seeking a software engineer to design, develop, and maintain scalable Python-based applications, APIs, and automation services in Riyadh. You will build automation workflows and contribute to the in-house automation platform, delivering reliable, secure solutions for production use.

The role involves integrating Generative AI/LLMs, working with prompts, function calls, and structured outputs to enhance business workflows and enterprise integrations.

Qualifications

  • 3+ years of software engineering with Python development.
  • Production-grade Python applications and services.
  • Experience with REST APIs, microservices, and system integrations.
  • Experience with FastAPI, Flask, Django, or similar frameworks.
  • Experience with PostgreSQL or MongoDB.
  • Experience with Generative AI/LLMs and prompt engineering.

Responsibilities

  • Design, develop and maintain scalable Python-based applications, APIs and automation services.
  • Build and maintain automation workflows to support business processes.
  • Contribute to the in-house automation platform development and enhancement.
  • Develop and integrate AI LLM capabilities and intelligent agents into workflows.
  • Work with LLM APIs, prompt engineering, function calling and structured outputs.
  • Design and maintain integrations with databases, APIs and enterprise systems.

Skills

Python development
REST APIs
Microservices
SQL/NoSQL databases
Generative AI/LLM
Prompt engineering
Problem solving

Education

Degree in Computer Science or Engineering

Tools

FastAPI
Flask
Django
PostgreSQL
MongoDB
RabbitMQ
Kafka

Job description

Almosafer is seeking a software engineer to design, develop, and maintain scalable Python-based applications, APIs, and automation services in Riyadh. You will build automation workflows and contribute to the in-house automation platform, delivering reliable, secure solutions for production use.

The role involves integrating Generative AI/LLMs, working with prompts, function calls, and structured outputs to enhance business workflows and enterprise integrations.

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