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Senior Backend & Agentic AI Engineer Company: Lunixes Location: Egypt — [Remote] Employment Type: Full-time Experienc...

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Selected role

Senior Backend Agentic AI Engineer

Gamer Majlis Esports Management EG

$25k Senior Full-time

Senior Backend & Agentic AI Engineer

Company: Lunixes

Location: Egypt — [Remote]

Employment Type: Full-time

Experience Level: Senior

Salary: Competitive, based on experience and technical capability

About Lunixes

Lunixes is an AI technology company building Agentic AI solutions, intelligent business platforms, automation systems, AI workflows, and production-ready software for companies across different industries.

We are evolving into a GaaS company — Agentic as a Service.

Our work goes beyond building basic chatbots or isolated automations. We design and deploy complete systems in which AI agents can interact with APIs, business data, communication channels, CRM platforms, internal tools, and human approval workflows.

We are looking for a senior engineer who can help us build reliable backend systems and production-grade agentic workflows for Lunixes and its clients.

The Role

We are hiring a Senior Backend & Agentic AI Engineer based in Egypt to take ownership of backend development, AI workflow implementation, system integrations, and cloud deployments.

You will work closely with the founder, frontend engineers, AI engineers, and project teams to transform business requirements into scalable technical solutions.

This role requires someone who is comfortable owning a project from architecture and backend development through testing, deployment, monitoring, and ongoing improvement.

Key Responsibilities

Design, develop, and maintain backend applications using Python and Django.
Build secure and scalable REST APIs using Django REST Framework or similar technologies.
Design and implement agentic AI workflows using tools such as LangGraph.
Develop multi-step AI workflows involving agents, tools, memory, APIs, databases, and human approval.
Integrate Large Language Models and AI services into business applications.
Connect systems with third-party platforms, including CRM, ERP, messaging, communication, healthcare, and business-management systems.
Design asynchronous jobs and background-processing workflows using Celery, Redis, queues, or equivalent technologies.
Deploy and operate applications on AWS.
Manage databases, cloud infrastructure, environment configurations, secrets, logging, monitoring, backups, and deployment pipelines.
Work with Docker and containerized environments.
Maintain clean GitHub repositories, branches, pull requests, releases, and code-review practices.
Diagnose production issues and perform root-cause analysis.
Write maintainable, documented, tested, and reusable code.
Review technical requirements and contribute to system architecture decisions.
Support and mentor other developers when required.
Communicate technical risks, blockers, and implementation decisions clearly.

Required Technical Skills

Strong professional experience with Python.
Advanced experience with Django and Django REST Framework.
Strong understanding of backend architecture, APIs, authentication, authorization, and database design.
Experience with PostgreSQL or similar relational databases.
Practical experience building AI-powered applications or workflows.
Understanding of LangGraph, agentic workflows, tool calling, structured outputs, state management, and human-in-the-loop systems.
Experience integrating LLM providers and AI APIs.
Good knowledge of AWS services and production deployments.
Experience with services such as EC2, RDS, S3, IAM, CloudWatch, Lambda, ECS, Route 53, or similar AWS technologies.
Strong knowledge of Git and GitHub workflows.
Experience with Docker and Linux environments.
Understanding of CI/CD pipelines.
Experience with Redis, Celery, background jobs, or message queues.
Strong debugging and problem-solving skills.
Ability to understand business requirements and convert them into technical systems.
Good written and spoken English.

Preferred Qualifications

Experience building multi-agent systems.
Experience with LangChain, LangGraph, PydanticAI, CrewAI, or similar frameworks.
Understanding of RAG, vector databases, embeddings, memory systems, and knowledge retrieval.
Experience with FastAPI.
Experience with microservices and event-driven architectures.
Familiarity with WebSockets, real-time systems, or communication platforms.
Experience integrating WhatsApp, Meta, email, telephony, CRM, ERP, or healthcare systems.
Knowledge of AI observability, evaluation, guardrails, prompt versioning, and model-routing strategies.
Understanding of application security, data protection, and secure software-development practices.
Previous experience in a startup, software agency, SaaS, AI, or automation company.

What We Are Looking For

We are looking for someone who:

Takes ownership rather than waiting for detailed instructions.
Can evaluate a business problem before choosing a technical solution.
Understands that an AI workflow must be reliable, secure, observable, and deployable—not merely functional in a local demonstration.
Writes structured, maintainable, and production-ready code.
Can work independently while communicating clearly with the team.
Is comfortable working across multiple client projects and industries.
Can learn unfamiliar systems quickly.
Thinks about deployment, infrastructure, security, maintainability, and operational cost from the beginning.
Is genuinely interested in the future of agentic software and AI-powered business operations.

What You Will Work On

Depending on the project, you may work on:

AI-powered CRM and business-operation platforms.
Agentic workflows for sales, customer service, operations, and internal business processes.
AI voice agents and communication systems.
Intelligent appointment and lead-management systems.
Multi-agent orchestration platforms.
RAG and knowledge-management systems.
Social-media and content automation systems.
API integrations between AI agents and enterprise software.
Internal AI infrastructure and orchestration tools.
Client-specific AI and automation solutions.

What We Offer

The opportunity to work on real production AI and agentic systems.
Direct involvement in architecture and product decisions.
Exposure to multiple business sectors and technical environments.
A high-ownership role with room for professional growth.
The opportunity to help shape Lunixes’ agentic engineering standards.
A collaborative environment focused on practical execution rather than AI hype.
Competitive compensation based on experience and demonstrated capability.

Application Requirements

Candidates should submit:

An updated CV.
GitHub profile or code samples.
Links or descriptions of relevant backend projects.
Details of any AI, LangGraph, LangChain, RAG, or agentic workflow projects.
Examples of AWS deployments or production systems they have managed..
Notice period.
Current location in Egypt.

Lunixes is an equal-opportunity employer. We evaluate candidates based on their skills, experience, ownership mindset, and ability to build reliable systems.

please submit your CV/ Resume [email protected]

Pay: E£20,000.00 - E£25,000.00 per month

Application Question(s):

How many years of professional experience do you have with Python and Django?
Have you deployed production applications on AWS? Which AWS services did you use?
Have you built any AI agents, LangGraph workflows, RAG systems, or LLM-based applications?
How do you structure and monitor a multi-step AI workflow in production?
Are you comfortable taking ownership of backend architecture, deployment, and production troubleshooting?

Work Location: Remote

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