Python Backend Developer

Job Title
Python Backend Developer LLM & ML Systems (3 Months Contract)
Job Description
Python Backend Developer LLM & ML Systems (3 Months Contract)

Role Summary
We are hiring a Python Backend Developer to architect and implement advanced AI-driven backend systems for LLM and ML workflows. This is a fully remote, contract-based role designed for engineers who excel at building scalable APIs, orchestrating intelligent services, and integrating cutting-edge frameworks like LangChain and LangGraph.

Job Details
Job Location: Remote (Dubai-based operations)
Industry: Information Technology and Services
Function: Software Engineering / Development
Job Type: Contract (3 months, fully remote, hourly-based)

Position Overview
As a Python Backend Developer, you will design and maintain backend services powering LLM-based systems, focusing on performance, observability, and scalability. Your work will involve creating RAG pipelines, implementing AI orchestration layers, and ensuring seamless integration for enterprise-grade applications.

What You ll Do

* Develop robust, production-grade backend services and REST APIs using Python.
* Design and maintain scalable AI-driven workflows, including Retrieval-Augmented Generation (RAG) pipelines.
* Integrate Large Language Models (LLMs) like OpenAI and Anthropic using LangChain, LangGraph, or similar frameworks.
* Implement observability, logging, and fault-tolerant architectures for distributed systems.
* Collaborate with cross-functional teams to ensure clean, maintainable, and efficient solutions.

Ideal Profile

* 5+ years of experience in backend development (or full-stack with backend focus).
* Strong expertise in Python, API architecture, and microservices.
* Proven experience deploying LLM-based solutions in production environments.
* Hands-on knowledge of LangChain, LangGraph, or similar AI orchestration frameworks.
* Familiarity with CI/CD pipelines, containerization (Docker), and cloud environments.
* Excellent communication skills for remote team collaboration.