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 platform
• Building RAG pipelines, agentic workflows, tool-calling systems, copilots, and automation layers
• Assessing internal departments and identifying opportunities for process improvement, AI adoption, and operational transformation
• Creating evaluation frameworks, golden datasets, regression suites, and measurement loops for LLM systems
• Engineering for reliability, including guardrails, output validation, prompt-injection defences, structured fallbacks, and observability
• Optimising cost, latency, context engineering, caching, model routing, and inference performance
• Working closely with security, risk, and compliance around PII, data residency, auditability, and regulated payments requirements
• Leading architecture decisions and setting the technical foundations for a team that will grow around you

Candidate requirements:

• 5+ years in software engineering
• 2+ years shipping LLM / GenAI systems into production
• Strong Python engineering background
• Deep experience with LLM orchestration, RAG, embeddings, vector stores, retrieval quality, chunking, and evaluation
• Strong understanding of transformer architectures, tokenisation, context windows, and practical model trade-offs
• Production cloud experience across AWS or GCP, containers, CI/CD, infrastructure-as-code, and observable services
• A strategic mindset: someone who can understand business problems, challenge assumptions, and turn opportunities into working technical solutions
• Fintech, payments, banking, or another regulated / compliance-heavy domain - beneficial.

Qualified candidates should apply fir further details.