AI Engineer – Generative AI and Automation

mexdigital; Dubai; On-site; AED 240,000 - 420,000; Full time

Benefits offered by this job

Competitive salary

Performance-based incentives

International environment

Job summary

MultiBank Group in Dubai is seeking an AI Engineer to design, build, and deploy intelligent AI agents and automated workflows. You will own end‑to‑end delivery from scoping through production deployment, enabling the organization to automate complex processes with generative AI.

The role requires hands‑on experience with LangChain, LLM APIs (Anthropic Claude, OpenAI), and vector DBs; you’ll collaborate cross‑functionally to identify automation opportunities and ensure safe, scalable

Qualifications

• Bachelor's or Master's in Computer Science, AI, Software Engineering, or related field.
• 2+ years of hands‑on experience building production AI systems or intelligent automation solutions.
• Experience building agents/workflows with LangChain, LangGraph, CrewAI, n8n, or similar frameworks.
• Proven ability to integrate LLM APIs (Anthropic Claude, OpenAI) into real applications.
• Experience with vector databases and semantic search is a plus.
• Portfolio or demonstrable projects showing deployed agents or RAG apps.
• Proficiency in Python; JavaScript/TypeScript beneficial.
• Familiarity with cloud platforms, Docker, FastAPI, and CI/CD for AI pipelines.

Responsibilities

• Design, build, and deploy AI agents and automated workflows to solve business problems.
• Own end‑to‑end delivery from scoping to production deployment.
• Architect multi‑agent systems and agentic workflows.
• Implement RAG pipelines with vector databases and knowledge bases.
• Integrate tools, APIs, databases, and third‑party services.
• Fine‑tune and prompt‑engineer LLMs for reliability and accuracy.
• Collaborate with stakeholders to translate requirements into agent solutions.
• Monitor and improve agents across quality, latency, cost, and safety metrics.
• Establish best practices for agent safety and human‑in‑the‑loop controls.
• Develop MCP server integrations to extend capabilities.

Skills

Python

Analytical thinking

Problem solving

Team collaboration

Communication

Education

Bachelor's or Master's in Computer Science or related field

Tools

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

n8n

Make/Integromat

Zapier

Apache Airflow

Pinecone

Weaviate

Qdrant

pgvector

Chroma

LlamaIndex

Docker

FastAPI

REST API

AWS

Azure

GCP

Job description

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.