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Mex Digital

AI Engineer – Generative AI and Automation

LocationDubai Office
Work modeon-site
Typefull-time
DepartmentData & Artificial Intelligence
Company size1,001–5,000 people
First seen3mo ago
Last seen8h ago
About the company
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 Overview
We are seeking an AI Engineer to design, build, and deploy intelligent AI agents and automated workflows that address real business problems. This is a hands-on, high-impact role within the Artificial Intelligence and Advanced Analytics team. The successful candidate will own end-to-end delivery of AI agents from scoping and architecture through integration, testing, and production deployment, enabling the organization to automate complex processes and unlock value from generative AI.
Key Responsibilities
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Design, build, and deploy AI agents using frontier LLMs including Claude (Anthropic API), OpenAI, Gemini, and other frontier models
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Architect multi-agent systems and agentic workflows using frameworks including LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel
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Build and manage automated business workflows using n8n, Make (Integromat), Zapier, and custom API integrations
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Implement RAG pipelines with vector databases including Pinecone, Weaviate, Qdrant, and pgvector to give agents access to organizational knowledge bases
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Design tool-use and function-calling integrations, connecting agents to internal systems, APIs, databases, and third-party services
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Fine-tune and prompt-engineer LLMs to optimize agent behavior, reliability, and task accuracy
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Collaborate with business stakeholders to identify automation opportunities and translate requirements into agent-based solutions
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Monitor, evaluate, and continuously improve deployed agents across quality, latency, cost, and safety metrics
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Establish and maintain best practices for agent safety, guardrails, human-in-the-loop controls, and responsible AI deployment
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Develop MCP (Model Context Protocol) server integrations to extend agent capabilities
Requirements
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Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field; equivalent practical experience will be considered
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2 or more years of hands-on experience building production AI systems or intelligent automation solutions
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Demonstrated experience building agents or workflows with LangChain, LangGraph, CrewAI, n8n, or comparable frameworks
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Proven ability to integrate LLM APIs including Anthropic Claude and OpenAI into real-world applications
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Experience with vector databases and semantic search implementations is strongly preferred
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Portfolio or demonstrable projects showing deployed agents, automation workflows, or RAG-based applications
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Proficiency in Python as the primary language; JavaScript or TypeScript is beneficial
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Familiarity with cloud platforms, Docker, FastAPI, and CI/CD practices for AI pipelines
Technical Skills
LLM APIs: Anthropic Claude (claude-opus-4, claude-sonnet-4), OpenAI GPT-4o, Google Gemini, Mistral
Agent Frameworks: LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, Haystack
Workflow Automation: n8n, Make (Integromat), Zapier, Apache Airflow
Vector Databases and RAG: Pinecone, Weaviate, Qdrant, pgvector, Chroma, LlamaIndex
Programming: Python (primary), JavaScript/TypeScript, REST API design
Cloud and MLOps: AWS, Azure, GCP, Docker, FastAPI, CI/CD for AI pipelines
Observability and Evaluation: LangSmith, Helicone, Weights and Biases, custom evaluation harnesses
AI Agent Focus Areas
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Autonomous and semi-autonomous agents for customer service, operations, marketing, and data analysis
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Multi-agent orchestration including planner, executor, critic, and memory agent patterns
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Knowledge retrieval systems including enterprise RAG, document Q&A, and semantic search
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Process automation integrating CRM, ERP, and communication tools end-to-end
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Agent safety, guardrails, and human-in-the-loop oversight mechanisms
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MCP server development for extending agent capabilities
Soft Skills
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Strong problem-solving ability and analytical thinking
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Ability to translate complex business needs into practical technical solutions
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Effective collaboration and communication in a team-oriented environment
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Intellectual curiosity and commitment to staying current with AI research and trends
Why Join Us?
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Work with one of the world’s leading financial derivatives institutions.
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Competitive salary plus performance-based incentives.
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Access to a dynamic, international, and fast-growing environment.
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Strong opportunities for career progression within a global financial group.
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Be part of a business committed to innovation, excellence, and long-term growth.
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
Legal
MultiBank Group is an equal opportunity employer. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.
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