hirelikeme
Mexdigital

AI Engineer – Generative AI and Automation

1mo ago
Worldwide
Mexdigital

AI Engineer – Generative AI and Automation

1mo ago
Worldwideopenaiapillmautomationintegrationtestingproduction deployment

Design, build, and deploy intelligent AI agents and automated workflows addressing real business problems within AI and Advanced Analytics team.

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

Conditions

  • 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.

Other

  • 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.
  • 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.
  • 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
  • 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
  • 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
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