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
Design, build, and deploy AI agents using frontier LLMs including Claude (Anthropic API), OpenAI, Gemini, and other frontier models
Architect multi-agent systems and agentic workflows using frameworks including LangChain, LangGraph, CrewAI, AutoGen, and Semantic Kernel
Build and manage automated business workflows using n8n, Make (Integromat), Zapier, and custom API integrations
Implement RAG pipelines with vector databases including Pinecone, Weaviate, Qdrant, and pgvector to give agents access to organizational knowledge bases
Design tool-use and function-calling integrations, connecting agents to internal systems, APIs, databases, and third-party services
Fine-tune and prompt-engineer LLMs to optimize agent behavior, reliability, and task accuracy
Collaborate with business stakeholders to identify automation opportunities and translate requirements into agent-based solutions
Monitor, evaluate, and continuously improve deployed agents across quality, latency, cost, and safety metrics
Establish and maintain best practices for agent safety, guardrails, human-in-the-loop controls, and responsible AI deployment
Develop MCP (Model Context Protocol) server integrations to extend agent capabilities
Requirements
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field; equivalent practical experience will be considered
2 or more years of hands-on experience building production AI systems or intelligent automation solutions
Demonstrated experience building agents or workflows with LangChain, LangGraph, CrewAI, n8n, or comparable frameworks
Proven ability to integrate LLM APIs including Anthropic Claude and OpenAI into real-world applications
Experience with vector databases and semantic search implementations is strongly preferred
Portfolio or demonstrable projects showing deployed agents, automation workflows, or RAG-based applications
Proficiency in Python as the primary language; JavaScript or TypeScript is beneficial
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
Autonomous and semi-autonomous agents for customer service, operations, marketing, and data analysis
Multi-agent orchestration including planner, executor, critic, and memory agent patterns
Knowledge retrieval systems including enterprise RAG, document Q&A, and semantic search
Process automation integrating CRM, ERP, and communication tools end-to-end
Agent safety, guardrails, and human-in-the-loop oversight mechanisms
MCP server development for extending agent capabilities
Soft Skills
Strong problem-solving ability and analytical thinking
Ability to translate complex business needs into practical technical solutions
Effective collaboration and communication in a team-oriented environment
Intellectual curiosity and commitment to staying current with AI research and trends
Why Join Us?
Work with one of the world’s leading financial derivatives institutions.
Competitive salary plus performance-based incentives.
Access to a dynamic, international, and fast-growing environment.
Strong opportunities for career progression within a global financial group.
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.
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.