Role Summary:We are looking for a Staff Engineer with deep backend engineering experience who has started integrating AI into production systems. Backend is your foundation — 7+ years owning microservices, APIs, and distributed systems at scale. AI is your evolution — you have shipped at least one LLM-powered feature in production, and you understand where the technology is taking the industry.Key Responsibilities: Backend Architecture & Engineering: Own the technical architecture of Vezeeta’s core backend systems — booking, pharmacy, CRM, and patient management — ensuring they are scalable, fault-tolerant, and production-ready.Collaborate closely with product and business stakeholders to translate requirements into clear, actionable technical directions.Design and govern microservices architecture: service boundaries, communication patterns, data models, and reliability standards.Set and enforce backend engineering standards across the team: code quality, design patterns, testing strategy, and CI/CD practices.Solve cross-cutting architectural problems that require someone with enough seniority to make decisions affecting multiple teams.Own backend performance: query optimisation, caching strategies, latency targets, and system observability.AI Integration:Own the integration layer between AI capabilities and Vezeeta’s backend services — how LLMs, agents, and RAG pipelines plug into booking, pharmacy, and patient systems.Own the technical delivery roadmap for AI features — from design through deployment, monitoring, and iteration.Build production-grade AI integrations that are reliable, observable, and maintainable — treating AI as an engineering discipline, not a research experiment.Establish AI engineering best practices for the team: how to integrate LLMs reliably, how to monitor AI systems in production, how to evaluate quality and manage cost.Evaluate and recommend AI frameworks and tools that make practical sense for Vezeeta’s specific needs.Technical Leadership:Serve as the technical reference across engineering squads — the person others escalate hard architectural decisions to.Mentor senior engineers and raise the technical bar through code reviews, architecture sessions, andKnowledge sharing.Translate product and business requirements into clear technical direction and system designs.Partner with the Tech VP on architectural strategy, technical trade-offs, and the engineering roadmap.Requirements: Backend Engineering — Non-Negotiable:7+ years of backend engineering experience with strong ownership of production systems at scale.Proficiency in C#/.NET and/or Python — building APIs, microservices, and backend services that realusers depend on.Deep understanding of microservices architecture, distributed systems, and event-driven design.Strong database expertise: SQL Server, PostgreSQL, or MySQL — schema design, query optimisation, andindexing.Hands-on production experience with Docker and Kubernetes.Experience with cloud platforms — AWS preferred (Lambda, ECS, SQS, SNS, S3, RDS).Confirmed technical leadership experience: setting standards, reviewing architecture, mentoringengineers.AI Integration:Has shipped at least one LLM-powered feature, AI agent, or RAG pipeline in a production environment — not a demo, not a course project.Familiar with at least one AI integration framework: LangChain, LangGraph, Semantic Kernel, or equivalent.Basic understanding of RAG architecture and vector databases.Comfortable making an LLM API call from a backend service and handling the reliability, latency, and cost implications.Curious about AI and staying current — experimenting, not just reading.Soft Skills Communicates technical complexity clearly to both engineers and non-technical stakeholders. Opinionated about engineering quality but pragmatic about delivery.Self-directed and proactive — identifies problems before they become incidents.Comfortable with ambiguity and fast-moving environments.EducationBachelor’s degree in Computer Science, Software Engineering, or a related field.Demonstrated production experience is weighted more than formal credentials.What Makes This Role Exceptional: Own the backend architecture of a healthcare platform serving millions of patients across the MENA region.Be the technical reference for the engineering team — cross-team influence without becoming a people manager.Build the bridge between Vezeeta’s proven backend infrastructure and the AI layer that will define its next chapter.Direct partnership with the Tech VP on architectural decisions and engineering strategy.A clear growth path toward Principal Engineer or Head of Engineering as the platform and team scale.