AI Marketing Engineer

Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.Role OverviewWe are seeking an AI Marketing Engineer to design, build, and deploy practical AI solutions that improve the speed, quality, personalization, and measurable performance of MultiBank Group's global marketing operations.The successful candidate will translate marketing and commercial requirements into secure, scalable AI applications, data workflows, and intelligent automations. Working closely with Marketing, CRM, Data, Technology, Compliance, Product, and regional teams, the role will connect customer and campaign data with generative AI, predictive models, AI agents, agentic workflows, and marketing platforms to support better content operations, audience decisions, lead management, experimentation, and performance analysis.This opportunity is suited to a hands-on engineer who combines strong software and data capabilities with a practical understanding of digital marketing, responsible AI, and the controls required in a regulated financial-services environment.Key ResponsibilitiesDesign, build, deploy, and maintain AI-powered marketing applications, agents, copilots, and workflow automations that address clearly defined business needs.Develop solutions for content operations, campaign planning, localization, personalization, lead qualification, next-best-action recommendations, customer insights, reporting, and marketing performance analysis.Integrate large language models, predictive models, vector databases, APIs, CRM systems, marketing automation platforms, content-management systems, analytics tools, and internal data sources.Build reliable data pipelines and feature workflows using Python and SQL, ensuring data quality, lineage, privacy, and appropriate access controls.Develop retrieval-augmented generation workflows using approved knowledge sources, with effective grounding, citation, permission, and content-freshness controls.Design and implement AI agents and agentic workflows with planning, memory, tool calling, structured reasoning, task delegation, and secure integration with approved business systems.Develop single-agent and multi-agent orchestration patterns, including routing, state management, retries, human escalation, and controls that prevent unauthorized or unreliable actions.Create evaluation frameworks for accuracy, relevance, consistency, latency, cost, bias, hallucination risk, brand alignment, and regulatory suitability.Implement human-in-the-loop approvals, audit trails, prompt and model versioning, fallback logic, monitoring, and safeguards for customer-facing or regulated use cases.Partner with marketers to define use cases, success metrics, experiments, and adoption plans, converting business problems into production-ready technical solutions.Prototype rapidly, test with users, and productionize high-value solutions using sound software-engineering, MLOps, and DevOps practices.Monitor model and application performance, investigate failures, optimize quality and cost, and manage changes to prompts, models, integrations, and data dependencies.Document architectures, data flows, model choices, controls, test results, operating procedures, and known limitations for technical and non-technical stakeholders.Support AI enablement across the Marketing department through reusable components, technical guidance, training, and clear standards for responsible use.Qualifications and Requirements3-5+ years of professional experience in AI engineering, machine learning engineering, data engineering, marketing technology, software engineering, or a related technical role.Strong Python and SQL skills, including experience building APIs, data pipelines, automation services, and production-quality applications.Hands-on experience with large language models, prompt engineering, embeddings, vector search, retrieval-augmented generation, tool use, structured outputs, and model evaluation.Strong practical knowledge of LLM capabilities and limitations, including context management, tokenization, inference settings, fine-tuning approaches, grounding, hallucination mitigation, and provider or model selection.Hands-on experience building AI agents using tool and function calling, planning, memory, workflow orchestration, multi-agent coordination, human-in-the-loop controls, and agent evaluation techniques.Experience integrating AI services with enterprise platforms through REST APIs, webhooks, event-driven workflows, and secure authentication methods.Strong understanding of software-engineering practices, including version control, testing, code review, modular design, documentation, observability, and CI/CD.Experience working with cloud infrastructure and managed AI or data services on AWS, Azure, or Google Cloud.Understanding of digital marketing concepts, including customer journeys, segmentation, CRM, lifecycle marketing, paid media, experimentation, attribution, and conversion measurement.Practical knowledge of data privacy, security, model risk, responsible AI, and governance controls for enterprise and customer-facing applications.Ability to evaluate technical trade-offs involving model quality, latency, cost, scalability, maintainability, and business risk.Strong communication and problem-solving skills, with the ability to explain architectures, limitations, risks, and recommendations to marketers and senior stakeholders.A degree in computer science, artificial intelligence, data science, engineering, information systems, or another relevant technical discipline.Preferred ProfileExperience in financial services, brokerage, fintech, banking, or another regulated industry; familiarity with FX or CFD products is advantageous.Experience with agent and AI orchestration frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or comparable tools.Experience with cloud AI services, including Amazon Bedrock or SageMaker, Azure AI, Google Vertex AI, or similar platforms.Familiarity with customer-data platforms, CRM and marketing automation platforms, analytics tools, and advertising APIs.Experience developing recommendation, propensity, churn, lead-scoring, uplift, forecasting, or marketing-mix applications.Knowledge of containerization, serverless architectures, workflow orchestration, vector databases, and model or application monitoring.Experience with multilingual AI applications, automated localization, content quality controls, and brand-governance workflows.A portfolio of deployed AI products or internal tools that demonstrate measurable adoption, efficiency, revenue, or customer-experience impact.Why Join UsWork with an industry-leading global financial institution.Competitive salary and comprehensive employee benefits.Opportunities for professional growth and career advancement.Collaborative, inclusive, and dynamic work environment.Commitment to innovation, client engagement excellence, and performance-driven success.Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.