Software Engineering Manager

Senior AI Engineer —FinTech / Payments Dubai**Strategic first engineering hire | Hands-on GenAI / LLM leadership**Our client, a fast-growing, fintech/payments business in Dubai is hiring its first senior engineering / AI hire.This is not a narrow “build a chatbot” role. The company is looking for someone who can work directly with the C-suite, look across the business department by department, and identify where AI, automation, data, and engineering can materially improve internal operations, decision-making, efficiency, and scalability.You will be the person shaping the company’s AI and engineering direction from the ground up: strategic enough to advise leadership, hands-on enough to build production systems yourself, and senior enough to grow and mentor a team over time.Responsibilities: Designing and shipping production-grade LLM applications across internal operations and the payments platformBuilding RAG pipelines, agentic workflows, tool-calling systems, copilots, and automation layersAssessing internal departments and identifying opportunities for process improvement, AI adoption, and operational transformationCreating evaluation frameworks, golden datasets, regression suites, and measurement loops for LLM systemsEngineering for reliability, including guardrails, output validation, prompt-injection defences, structured fallbacks, and observabilityOptimising cost, latency, context engineering, caching, model routing, and inference performanceWorking closely with security, risk, and compliance around PII, data residency, auditability, and regulated payments requirementsLeading architecture decisions and setting the technical foundations for a team that will grow around youCandidate requirements: 5+ years in software engineering2+ years shipping LLM / GenAI systems into productionStrong Python engineering backgroundDeep experience with LLM orchestration, RAG, embeddings, vector stores, retrieval quality, chunking, and evaluationStrong understanding of transformer architectures, tokenisation, context windows, and practical model trade-offsProduction cloud experience across AWS or GCP, containers, CI/CD, infrastructure-as-code, and observable servicesA strategic mindset: someone who can understand business problems, challenge assumptions, and turn opportunities into working technical solutionsFintech, payments, banking, or another regulated / compliance-heavy domain - beneficial.Qualified candidates should apply fir further details.