About the role
We're building a team of engineers working at the frontier of AI-assisted software development.
Whatever your backend stack — Node.js, TypeScript, Python, PHP, .NET / C#, Java, or Go — if you already build real products with AI in the loop, we would appreciate the opportunity to speak with you.
Our customers are moving fast to embed AI into their products and into the way they build software, using agentic tools to take work from idea to production.What matters is solid engineering craft, real experience using AI agentically to ship code, and a readiness to grow into new technologies where the work needs it.Please note: this is a hands-on software engineering role — you’ll be building and shipping AI-augmented features.
It is not a Data Science, Machine Learning research, or model-training position.
If your focus is statistics, model training, or data analysis rather than building software, this role isn’t the right fit.
ResponsibilitiesBuild and ship full-stack web applications and AI-powered product features, from early idea to production release.Use modern AI development tools such as Claude Code, GitHub Copilot, and Cursor as part of your daily engineering workflow — for research, prototyping, code generation, refactoring, testing, debugging, and documentation.Integrate AI capabilities into real products, including LLM APIs, retrieval-based systems, RAG, and agent/tool workflows.Review AI-generated code critically.
Make sure it is reliable, maintainable, secure, and consistent with the team’s engineering standards.Take part in architecture discussions, technical design, and code reviews.
Help define reusable patterns and practical team practices for working with AI.Work closely with engineering, product, delivery, and customer-facing teams.
Understand not only what needs to be built, but also why it matters for the business.Stay flexible with the stack.
Strengthen your backend expertise while growing into frontend and cloud areas when the project requires it.
What we offerStable long-term cooperation and competitive compensation.The chance to work at the cutting edge of agentic AI development on international projects.A fast and well-structured onboarding process with a dedicated mentor.A clear career development path and access to learning programs.Paid vacation, national public holidays, and support during religious celebrations.A modern and comfortable office based in Smart Village, at the heart of Cairo’s tech ecosystem.Healthy work–life balance.A welcoming corporate culture, team support, and respectful communication.
What we expect from you3+ years of professional software engineering experience, building web/product applications.Strong command of at least one backend language: Node.js, TypeScript, Python, PHP, Go, .NET / C#, or Java.Solid full-stack fundamentals — comfortable working across APIs, databases, and deployment, not just a single layer.Hands-on experience using AI-assisted / agentic engineering tools in real delivery work (Claude Code, GitHub Copilot, Cursor, Copilot CLI, or similar).
We mean confident, fluent use — these tools are already a routine part of how you build and ship, not something you’ve only tried a few times.Demonstrable experience with several of: prompt engineering for development workflows, multi-step agentic development, AI-assisted debugging and refactoring, AI-assisted test generation, and rapid prototyping with AI.The judgment to use AI responsibly — understanding the limitations, risks, and governance considerations of AI-generated code.A genuine readiness to learn and work in the front-end (any modern framework) when the work calls for it.
Front-end experience is not required, but the right mindset is.Strong problem-solving skills and the ability to work independently and drive work to production with little supervision.Upper-Intermediate English level (B2).A proactive mindset, good communication, and the ability to thrive in a high-impact, fast-paced environment.Will be a plusFront-end experience with a modern framework (React / Angular / Vue) and TypeScript.Cloud fundamentals with one of the major platforms (AWS / Azure / GCP).Experience with CI/CD pipelines, DevOps practices, and Kubernetes.Knowledge of message brokers (Kafka / RabbitMQ) and observability (ELK / Prometheus & Grafana).Experience embedding AI/LLM features into products: RAG pipelines, vector databases (Pinecone / Qdrant), embeddings, and semantic search.Experience building MCP servers/tools, custom “agent skills,” or multi-agent orchestration (e.g., LangChain / LangGraph).Experience running self-hosted or local models (Ollama, vLLM).Awareness of secure, governed use of AI in enterprise development environments (e.g., preventing data/PII leakage).
What we expect from you3+ years of professional software engineering experience, building web/product applications.Strong command of at least one backend language: Node.js, TypeScript, Python, PHP, Go, .NET / C#, or Java.Solid full-stack fundamentals — comfortable working across APIs, databases, and deployment, not just a single layer.Hands-on experience using AI-assisted / agentic engineering tools in real delivery work (Claude Code, GitHub Copilot, Cursor, Copilot CLI, or similar).
We mean confident, fluent use — these tools are already a routine part of how you build and ship, not something you’ve only tried a few times.Demonstrable experience with several of: prompt engineering for development workflows, multi-step agentic development, AI-assisted debugging and refactoring, AI-assisted test generation, and rapid prototyping with AI.The judgment to use AI responsibly — understanding the limitations, risks, and governance considerations of AI-generated code.A genuine readiness to learn and work in the front-end (any modern framework) when the work calls for it.
Front-end experience is not required, but the right mindset is.Strong problem-solving skills and the ability to work independently and drive work to production with little supervision.Upper-Intermediate English level (B2).A proactive mindset, good communication, and the ability to thrive in a high-impact, fast-paced environment.Will be a plusFront-end experience with a modern framework (React / Angular / Vue) and TypeScript.Cloud fundamentals with one of the major platforms (AWS / Azure / GCP).Experience with CI/CD pipelines, DevOps practices, and Kubernetes.Knowledge of message brokers (Kafka / RabbitMQ) and observability (ELK / Prometheus & Grafana).Experience embedding AI/LLM features into products: RAG pipelines, vector databases (Pinecone / Qdrant), embeddings, and semantic search.Experience building MCP servers/tools, custom “agent skills,” or multi-agent orchestration (e.g., LangChain / LangGraph).Experience running self-hosted or local models (Ollama, vLLM).Awareness of secure, governed use of AI in enterprise development environments (e.g., preventing data/PII leakage).
