AI Engineer – Generative AI and Automation

Overview

MultiBank Group

Role Overview

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

LLM APIs

Agent Frameworks

Python (primary), JavaScript/TypeScript, REST API design

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.